diff --git a/.gitignore b/.gitignore
index 3c7da3c3c6416a8b8023ee2a81d58202ed15c00b..7aea78685f139826050b2c50436be851dd9fca03 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,2 @@
 .ipynb_checkpoints/
-.*venv*
+.*venv/
diff --git a/01_introduction.ipynb b/01_introduction.ipynb
index 98806b8dfe9e1022c56ac215351dbb94515fdd9d..313f532c3a9ebad5efd2bec9d3ab139906e9441c 100644
--- a/01_introduction.ipynb
+++ b/01_introduction.ipynb
@@ -18,10 +18,10 @@
     "\n",
     "A \"model\" allows us to explain observations and to answer questions. For example:\n",
     "\n",
-    "   1. Where will my car at given velocity stop when I break now ?\n",
-    "   2. Where on the night sky will I see the moon tonight ?\n",
-    "   2. Is the email I received spam ? \n",
-    "   4. Which article X should I recommend to a customer Y ?\n",
+    "   1. Where will my car at given velocity stop if I apply break now?\n",
+    "   2. Where on the night sky will I see the moon tonight?\n",
+    "   3. Is the email I received spam?\n",
+    "   4. Which article \"X\" should I recommend to a customer \"Y\"?\n",
     "   \n",
     "- The first two questions can be answered based on existing physical models (formulas). \n",
     "\n",
@@ -36,25 +36,30 @@
     "\n",
     "\n",
     "\n",
-    "E.g. for the spamming example:\n",
+    "E.g. for the spam email example:\n",
     "\n",
     "- We have no explicit formula for such a task (and devising one would boil down to lots of trial with different statistics or scores and possibly weighting of them).\n",
-    "- We have a vague understanding of the problem domain, because we know that some words are specific for spam emails, other words are specific for my personal and job emails.\n",
-    "- My mailbox is full with examples for spam vs non-spam.\n",
-    "\n",
+    "- We have a vague understanding of the problem domain because we know that some words are specific to spam emails and others are specific to my personal and work-related emails.\n",
+    "- My mailbox is full with examples of both spam and non-spam emails.\n",
     "\n",
     "**In such cases machine learning offers approaches to build models based on example data.**\n",
     "\n",
     "<div class=\"alert alert-block alert-info\">\n",
     "<i class=\"fa fa-info-circle\"></i>\n",
-    "The closely-related concept of <b>data mining</b> usually means use of predictive machine learning models to explicitly discover previously unknown knowledge from a specific data set, such as, for instance, association rules between customer and article types in the Problem 4 above.\n",
+    "The closely-related concept of <strong>data mining</strong> usually means use of predictive machine learning models to explicitly discover previously unknown knowledge from a specific data set, such as, for instance, association rules between customer and article types in the Problem 4 above.\n",
     "</div>\n",
     "\n",
     "\n",
     "\n",
     "## ML: what is \"learning\" ?\n",
     "\n",
-    "To create a predictive model, we first must \"learn\" such a model on given data. \n",
+    "To create a predictive model, we must first **train** such a model on given data. \n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<i class=\"fa fa-info-circle\"></i>\n",
+    "Alternative names for \"to train\" a model are \"to <strong>fit</strong>\" or \"to <strong>learn</strong>\" a model.\n",
+    "</div>\n",
+    "\n",
     "\n",
     "All ML algorithms have in common that they rely on internal data structures and/or parameters. Learning then builds up such data structures or adjusts parameters based on the given data. After that such models can be used to explain observations or to answer questions.\n",
     "\n",
@@ -102,14 +107,14 @@
    "source": [
     "## Machine learning with Python\n",
     "\n",
-    "Currently (2018) `Python` is the  dominant programming language for ML. Especially the advent of deep-learning pushed this forward. First releases of frameworks such as `TensorFlow` or `PyTorch` were released with`Python` support early.\n",
+    "Currently (2018) `Python` is the  dominant programming language for ML. Especially the advent of deep-learning pushed this forward. First versions of frameworks such as `TensorFlow` or `PyTorch` got early `Python` releases.\n",
     "\n",
     "The prevalent packages in the Python eco-system used for ML include:\n",
     "\n",
-    "- `pandas` for handling tabualar data\n",
+    "- `pandas` for handling tabular data\n",
     "- `matplotlib` and `seaborn` for plotting\n",
     "- `scikit-learn` for classical (non-deep-learning) ML\n",
-    "- `tensorflow`, `PyTorch` and `Keras` for deep-learning.\n",
+    "- `TensorFlow`, `PyTorch` and `Keras` for deep-learning.\n",
     "\n",
     "`scikit-learn` is very comprehensive and the online-documentation itself provides a good introducion into ML."
    ]
@@ -258,7 +263,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "A straight-forward application for machine-learning on the previos beer dataset is: **\"can we predict `is_yummy` from the other features\"** ?\n",
+    "A straight-forward application of machine-learning on the previous beer dataset is: **\"can we predict `is_yummy` from the other features\"** ?\n",
     "\n",
     "<div class=\"alert alert-block alert-warning\">\n",
     "<i class=\"fa fa-warning\"></i>&nbsp;<strong>Even more definitions</strong>\n",
@@ -278,15 +283,19 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### How to represent images as feature vectors?\n",
+    "Most of the machine learning algorithms require that every sample is represented as a vector containing numbers. Let's look now at two examples of how one can create feature vectors from data which is not naturally given as vectors:\n",
+    "\n",
+    "1. Feature vectors from images\n",
+    "2. Feature vectors from text.\n",
     "\n",
-    "To simplify our explanations we consider gray images only here. Computers represent images as matrices. Every cell in the matrix represents one pixel, and the numerical value in the matrix cell its gray value.\n",
+    "### 1st Example: How to represent images as feature vectors ?\n",
     "\n",
-    "As we said, most machine learning algorithms require that every sample is represented as a  vector containing numbers. \n",
+    "In order to simplify our explanations we only consider grayscale images in this section. \n",
+    "Computers represent images as matrices. Every cell in the matrix represents one pixel, and the numerical value in the matrix cell its gray value.\n",
     "\n",
-    "So how can we represent images as vectors then ?\n",
+    "So how can we represent images as vectors?\n",
     "\n",
-    "`scikit-learn`  includes some example data sets which we load now:"
+    "To demonstrate this we will now load a sample dataset that is included in `scikit-learn`:"
    ]
   },
   {
@@ -328,9 +337,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "scrolled": true
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -359,7 +366,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The data is a set of 8 x 8 matrices with values 0 to 15. The range 0 to 15 is fixed for this specific data set. Other formats allow e.g. values 0..255 or floating point values in the range 0 to 1."
+    "The data is a set of 8 x 8 matrices with values 0 to 15 (black to white). The range 0 to 15 is fixed for this specific data set. Other formats allow e.g. values 0..255 or floating point values in the range 0 to 1."
    ]
   },
   {
@@ -451,11 +458,38 @@
     "print(\"image_vector:\", image_vector)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1797, 8, 8)\n",
+      "(1797, 64)\n",
+      "[ 0.  0.  5. 13.  9.  1.  0.  0.  0.  0. 13. 15. 10. 15.  5.  0.  0.  3.\n",
+      " 15.  2.  0. 11.  8.  0.  0.  4. 12.  0.  0.  8.  8.  0.  0.  5.  8.  0.\n",
+      "  0.  9.  8.  0.  0.  4. 11.  0.  1. 12.  7.  0.  0.  2. 14.  5. 10. 12.\n",
+      "  0.  0.  0.  0.  6. 13. 10.  0.  0.  0.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(dd.images.shape)\n",
+    "\n",
+    "# reashape to 1797, 64:\n",
+    "images_flat = dd.images.reshape(-1, 64)\n",
+    "print(images_flat.shape)\n",
+    "print(images_flat[0])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### How to present textual data as feature vectors ?"
+    "### 2nd Example: How to present textual data as feature vectors?"
    ]
   },
   {
@@ -500,12 +534,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And this is how we can compute such a word vector using Python:"
+    "Below you find is a short code example to demonstrate how text feature vectors can be created with `scikit-learn`.\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<i class=\"fa fa-info-circle\"></i>\n",
+    "Such vectorization is usually not done manually. Actually there are improved but more complicated procedures which compute multiplicative weights for the vector entries to emphasize informative words such as, e.g., <a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html\">\"term frequency-inverse document frequency\" vectorizer</a>.\n",
+    "</div>"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -531,7 +569,7 @@
     "\n",
     "vectorizer = CountVectorizer(vocabulary=vocabulary)\n",
     "\n",
-    "# create count vector for a pice of text:\n",
+    "# this how one can create a count vector for a given piece of text:\n",
     "vector = vectorizer.fit_transform([\n",
     "    \"I dislike american pizza. But american beer is nice\"\n",
     "]).toarray().flatten()\n",
@@ -581,7 +619,7 @@
     "\n",
     "### Supervised learning \n",
     "\n",
-    "In supervised learning the the data comes with an additional target value that we want to predict. Such a problem can be either \n",
+    "In supervised learning the data comes with an additional target/label value that we want to predict. Such a problem can be either \n",
     "\n",
     "- **classification**: we want to predict a categorical value.\n",
     "    \n",
@@ -589,7 +627,7 @@
     "    \n",
     "  \n",
     "\n",
-    "Examples for supervised learning:\n",
+    "Examples of supervised learning:\n",
     "\n",
     "- Classification: predict the class `is_yummy`  based on the attributes `alcohol_content`,\t`bitterness`, \t`darkness` and `fruitiness` (a standard two class problem).\n",
     "\n",
@@ -617,15 +655,15 @@
    "source": [
     "### Unsupervised learning \n",
     "\n",
-    "In unsupervised learning, in which the training data consists of samples without any corresponding target values, one tries to find structure in data. Some common applications are\n",
+    "In unsupervised learning the training data consists of samples without any corresponding target/label values and the aim is to find structure in data. Some common applications are:\n",
     "\n",
     "- Clustering: find groups in data.\n",
     "- Density estimation, novelty detection: find a probability distribution in your data.\n",
     "- Dimension reduction (e.g. PCA): find latent structures in your data.\n",
     "\n",
-    "Examples for unsupervised learning:\n",
+    "Examples of unsupervised learning:\n",
     "\n",
-    "- Can we split up our beer data set into sub groups of similar beers?\n",
+    "- Can we split up our beer data set into sub-groups of similar beers?\n",
     "- Can we reduce our data set because groups of features are somehow correlated?\n",
     "\n",
     "<table>\n",
@@ -648,7 +686,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## How to apply machine learning in practice ?\n",
+    "## How to apply machine learning in practice?\n",
     "\n",
     "Application of machine learning in practice consists of several phases:\n",
     "\n",
@@ -672,7 +710,7 @@
    "metadata": {},
    "source": [
     "<div class=\"alert alert-block alert-danger\">\n",
-    "<strong>TODO:</strong> prepare set of actual small exercises out of it (currently it's just more of a tutorial/example).\n",
+    "<strong>TODO:</strong> transform to az set of small exercises (instead of a tutorial/example as it is now).\n",
     "</div>"
    ]
   },
@@ -683,9 +721,37 @@
     "Our example beer data set reflects the very personal opinion of one of the tutors which beer he likes and which not. To learn a predictive model and to understand influential factors all beers went through some lab analysis to measure alcohol content, bitterness, darkness and fruitiness."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 1. Load the data and show the overall structure using `pandas`"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(225, 5)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# read some data\n",
+    "beer_data = pd.read_csv(\"beers.csv\")\n",
+    "print(beer_data.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -770,29 +836,162 @@
        "4         4.148710    0.570586  1.461568    0.260218         0"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import pandas as pd\n",
+    "# show first 5 rows\n",
+    "beer_data.head(5)\n",
     "\n",
-    "# read some data\n",
-    "beer_data = pd.read_csv(\"beers.csv\")\n",
-    "beer_data.head(5)"
+    "# there is alos beer_data.tail(5) !"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>alcohol_content</th>\n",
+       "      <th>bitterness</th>\n",
+       "      <th>darkness</th>\n",
+       "      <th>fruitiness</th>\n",
+       "      <th>is_yummy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "      <td>225.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>4.711873</td>\n",
+       "      <td>0.463945</td>\n",
+       "      <td>2.574963</td>\n",
+       "      <td>0.223111</td>\n",
+       "      <td>0.528889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.437040</td>\n",
+       "      <td>0.227366</td>\n",
+       "      <td>1.725916</td>\n",
+       "      <td>0.117272</td>\n",
+       "      <td>0.500278</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>3.073993</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>4.429183</td>\n",
+       "      <td>0.281291</td>\n",
+       "      <td>1.197640</td>\n",
+       "      <td>0.135783</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>4.740846</td>\n",
+       "      <td>0.488249</td>\n",
+       "      <td>2.026548</td>\n",
+       "      <td>0.242396</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>5.005170</td>\n",
+       "      <td>0.631056</td>\n",
+       "      <td>4.043995</td>\n",
+       "      <td>0.311874</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>5.955272</td>\n",
+       "      <td>1.080170</td>\n",
+       "      <td>7.221285</td>\n",
+       "      <td>0.535315</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       alcohol_content  bitterness    darkness  fruitiness    is_yummy\n",
+       "count       225.000000  225.000000  225.000000  225.000000  225.000000\n",
+       "mean          4.711873    0.463945    2.574963    0.223111    0.528889\n",
+       "std           0.437040    0.227366    1.725916    0.117272    0.500278\n",
+       "min           3.073993    0.000000    0.000000    0.000000    0.000000\n",
+       "25%           4.429183    0.281291    1.197640    0.135783    0.000000\n",
+       "50%           4.740846    0.488249    2.026548    0.242396    1.000000\n",
+       "75%           5.005170    0.631056    4.043995    0.311874    1.000000\n",
+       "max           5.955272    1.080170    7.221285    0.535315    1.000000"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# show basic statistics of the data\n",
+    "beer_data.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 2. Visualy inspect data using `seaborn`\n",
+    "\n",
+    "Such checks are very useful before you start throwning ML on your data. Some vague understanding how features are distributed and correlate can later be very helpfull to optimize performance of ML procedures.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 813.6x720 with 20 Axes>"
+       "<Figure size 776.6x720 with 20 Axes>"
       ]
      },
      "metadata": {},
@@ -806,7 +1005,9 @@
     "for_plot = beer_data.copy()\n",
     "\n",
     "def translate_label(value):\n",
-    "    return \"not yummy\" if value == 0 else \"yummy\"\n",
+    "    # seaborn has issues if labes are numbers or strings which represent numbers,\n",
+    "    # for whatever reason \"real\" text labels work\n",
+    "    return \"no\" if value == 0 else \"yes\"\n",
     "\n",
     "for_plot[\"is_yummy\"] = for_plot[\"is_yummy\"].apply(translate_label)\n",
     "\n",
@@ -817,15 +1018,26 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now we split our data frame into the input features and target values:"
+    "What do we see?\n",
+    "\n",
+    "- Points and colors don't look randomly distributed.\n",
+    "- We can see that some pairs like `darkness` vs `bitterness` seem to carry information which could support building a classifier.\n",
+    "- We also see that `bitterness` and `fruitiness` show correlation.\n",
+    "\n",
+    "Features which show no structure can also decrease performance of ML and often it makes sense to discard them.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 3. Prepare data: split features and labels"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -875,20 +1087,32 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's start learning with the so called `LogisticRegression` classifier.\n",
+    "### 4. Start machine learning using `scikit-learn`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's finally do some machine learning starting with the so called `LogisticRegression` classifier from `scikit-learn` package. The intention here is to experiment first. Details of this and further ML algorithms are not necessary at this point, but do not worry, they will come later during the course.\n",
     "\n",
     "<div class=\"alert alert-block alert-info\">\n",
     "<i class=\"fa fa-info-circle\"></i>\n",
-    "In logistic regression the linear regression is used internally and then transformed (using logistic function) to probability of belonging to one of the two classes. Even so the name contains \"regression\", it is still a classifier.\n",
+    "<code>LogisticRegression</code> is a classification method, even so the name contains \"regression\"-as the other group of unsupervised learning methods. In fact, in logistic regression method the (linear) regression is used internally and the result is then transformed (using logistic function) to probability of belonging to one of the two classes.\n",
     "</div>"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -899,7 +1123,7 @@
        "          verbose=0, warm_start=False)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -910,6 +1134,32 @@
     "classifier"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<i class=\"fa fa-warning\"></i>&nbsp;<strong>Built-in documentation</strong>\n",
+    "\n",
+    "If you want to learn more about <code>LogisticRegression</code> you can use <code>help(LogisticRegression)</code> or <code>?LogisticRegression</code> to see the related documenation. The latter version works only in Jupyter Notebooks (or in IPython shell).\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<i class=\"fa fa-warning\"></i>&nbsp;<strong>`scikit-learn` API</strong>\n",
+    "\n",
+    "In <code>scikit-learn</code> all classifiers have:\n",
+    "<ul>\n",
+    "    <li>a <strong><code>fit()</code></strong> method to learn from data, and</li>\n",
+    "    <li>and a subsequent <strong><code>predict()</code></strong> method for predicting classes from input features.</li>\n",
+    "</ul>\n",
+    "</div>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -927,7 +1177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -964,7 +1214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -995,7 +1245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1019,28 +1269,32 @@
     "<div class=\"alert alert-block alert-info\">\n",
     "<i class=\"fa fa-info-circle\"></i>\n",
     "<code>predicted_labels == labels</code> evaluates to a vector of <code>True</code> or <code>False</code> Boolean values. When used as numbers, Python handles <code>True</code> as <code>1</code> and <code>False</code> as <code>0</code>. So, <code>sum(...)</code> simply counts the correctly predicted labels.\n",
-    "</div>\n",
-    "\n"
+    "</div>\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## What happened ?\n",
+    "## What happened?\n",
     "\n",
-    "Why were not not all labels where predicted correctly ?\n",
+    "Why were not  all labels  predicted correctly?\n",
     "\n",
     "Neither `Python` nor `scikit-learn` is broken. What we observed above is very typical for machine-learning applications.\n",
     "\n",
-    "The reason here is that we have incomplete information: other features of beer which also contribute to the rating (like \"maltiness\") where not measured or can not be measured. So even the best algorithm can not predict the target values reliably.\n",
+    "Reasons could be:\n",
+    "\n",
+    "- we have incomplete information: other features of beer which also contribute to the rating (like \"maltiness\") were not measured or can not be measured. \n",
+    "\n",
+    "- the used classifiers might have been not suitable for the given problem.\n",
     "\n",
-    "Another reason might be mistakes in the input data, e.g. some labels are assigned incorrectly.\n",
+    "- noise in the data as incorrectly assigned labels also affect results.\n",
     "\n",
-    "* Finding good features is crucial for the performance of ML algorithms !\n",
     "\n",
+    "**Finding good features is crucial for the performance of ML algorithms!**\n",
     "\n",
-    "* Another important issue is make sure that you have clean data: input-features might be corrupted by flawed entries, feeding such data into a ML algorithm will usually lead to reduced performance."
+    "\n",
+    "Another important requirement is to make sure that you have clean data: input-features might be corrupted by flawed entries, feeding such data into a ML algorithm will usually lead to reduced performance."
    ]
   },
   {
@@ -1055,7 +1309,7 @@
    "metadata": {},
    "source": [
     "<div class=\"alert alert-block alert-danger\">\n",
-    "<strong>TODO:</strong> I propose to start excercise session 2 here, and ask to do re-classification with SVM, and only then play w/ regularization param.\n",
+    "<strong>TODO:</strong> I propose to start separate excercise session 2 w/ SVC here (so if someone is stuck on previous, he/she can skip).\n",
     "</div>"
    ]
   },
@@ -1063,17 +1317,24 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now, train a different `scikit-learn` classifier - the so called **Support Vector Classifier** `SVC`, and evaluate its \"re-classification\" performance again.\n",
+    "### 1. Compare with alternative machine learning method from `scikit-learn`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, using previously loaded and prepared beer data, train a different `scikit-learn` classifier - the so called **Support Vector Classifier** `SVC`, and evaluate its \"re-classification\" performance again.\n",
     "\n",
     "<div class=\"alert alert-block alert-info\">\n",
     "<i class=\"fa fa-info-circle\"></i>\n",
-    "<code>SVC</code>  belongs to a class of algorithms named \"Support Vector Machines\" (SVMs). We will discuss available ML algorithms in more detail in the following scripts.\n",
+    "<code>SVC</code>  belongs to a class of algorithms named \"Support Vector Machines\" (SVMs). Again, it will be discussed in more detail in the following scripts.\n",
     "</div>"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1088,7 +1349,7 @@
    "source": [
     "from sklearn.svm import SVC\n",
     "# ...\n",
-    "# REMOVE the following lines in the target script\n",
+    "# REMOVE or HIDE the following lines in the target script\n",
     "classifier = SVC()\n",
     "classifier.fit(input_features, labels)\n",
     "\n",
@@ -1107,25 +1368,378 @@
     "\n",
     "<div class=\"alert alert-block alert-info\">\n",
     "<i class=\"fa fa-info-circle\"></i>\n",
-    "Better re-classification does not indicate here that <code>SVC</code> is better than <code>LogisticRegression</code>. At most it seems to fit better to our training data. We will learn later that this may actually not necessarily be a good thing.\n",
-    "</div>\n",
-    "\n",
-    "Note that both `LogisticRegression` and `SVC` classifiers have a parameter `C` which allows to enforce simplification (know also as regularization) of the resulting model. Test the beers data \"re-classification\" with different values of this parameter."
+    "Better re-classification does not indicate here that <code>SVC</code> is better than <code>LogisticRegression</code>. At most it seems to fit better to our training data. We will learn later that this may be actually not a good thing.\n",
+    "</div>\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 2. Experiment with (hyper)parameters of ML methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Both `LogisticRegression` and `SVC` classifiers have a parameter `C` which allows to enforce a \"simplification\" (often called **regularization**) of the resulting model. Test the beers data \"re-classification\" with different values of this parameter.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
-    "?LogisticRegression\n",
+    "# Recall: ?LogisticRegression\n",
     "# ..."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-danger\">\n",
+    "<strong>TODO:</strong> prepare a solution.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Exercise section 3 (optional)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-danger\">\n",
+    "<strong>TODO:</strong> finish solution - missing classification and \"re-classification\" assesment.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load and inspect the cannonical Fisher's \"Iris\" data set, which is included in `scikit-learn`: see [docs for `sklearn.datasets.load_iris`](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html). What's conceptually diffferent?\n",
+    "\n",
+    "Apply `LogisticRegression` or `SVC` classifiers. Is it easier or more difficult than classification of the beers data?\n",
+    "\n"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['setosa' 'versicolor' 'virginica']\n",
+      "(150, 4)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "\n",
+    "data = load_iris()\n",
+    "\n",
+    "# labels as text\n",
+    "print(data.target_names) \n",
+    "\n",
+    "# (rows, columns) of the feature matrix:\n",
+    "print(data.data.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>petal length (cm)</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4.7</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
+       "0                5.1               3.5                1.4               0.2   \n",
+       "1                4.9               3.0                1.4               0.2   \n",
+       "2                4.7               3.2                1.3               0.2   \n",
+       "3                4.6               3.1                1.5               0.2   \n",
+       "4                5.0               3.6                1.4               0.2   \n",
+       "\n",
+       "   class  \n",
+       "0      0  \n",
+       "1      0  \n",
+       "2      0  \n",
+       "3      0  \n",
+       "4      0  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# transform the scikit-learn data structure into a data frame:\n",
+    "df = pd.DataFrame(data.data, columns=data.feature_names)\n",
+    "df[\"class\"] = data.target\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>petal length (cm)</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>5.843333</td>\n",
+       "      <td>3.054000</td>\n",
+       "      <td>3.758667</td>\n",
+       "      <td>1.198667</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.828066</td>\n",
+       "      <td>0.433594</td>\n",
+       "      <td>1.764420</td>\n",
+       "      <td>0.763161</td>\n",
+       "      <td>0.819232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.300000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>1.600000</td>\n",
+       "      <td>0.300000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>5.800000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.350000</td>\n",
+       "      <td>1.300000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6.400000</td>\n",
+       "      <td>3.300000</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>1.800000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>4.400000</td>\n",
+       "      <td>6.900000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       sepal length (cm)  sepal width (cm)  petal length (cm)  \\\n",
+       "count         150.000000        150.000000         150.000000   \n",
+       "mean            5.843333          3.054000           3.758667   \n",
+       "std             0.828066          0.433594           1.764420   \n",
+       "min             4.300000          2.000000           1.000000   \n",
+       "25%             5.100000          2.800000           1.600000   \n",
+       "50%             5.800000          3.000000           4.350000   \n",
+       "75%             6.400000          3.300000           5.100000   \n",
+       "max             7.900000          4.400000           6.900000   \n",
+       "\n",
+       "       petal width (cm)       class  \n",
+       "count        150.000000  150.000000  \n",
+       "mean           1.198667    1.000000  \n",
+       "std            0.763161    0.819232  \n",
+       "min            0.100000    0.000000  \n",
+       "25%            0.300000    0.000000  \n",
+       "50%            1.300000    1.000000  \n",
+       "75%            1.800000    2.000000  \n",
+       "max            2.500000    2.000000  "
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 806.85x720 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "sns.set(style=\"ticks\")\n",
+    "\n",
+    "for_plot = df.copy()\n",
+    "\n",
+    "def transform_label(class_):\n",
+    "    return data.target_names[class_]\n",
+    "\n",
+    "# seaborn does not work here if we use numeric values in the class\n",
+    "# column, or strings which represent numbers. To fix this we\n",
+    "# create textual class labels\n",
+    "for_plot[\"class\"] = for_plot[\"class\"].apply(transform_label)\n",
+    "sns.pairplot(for_plot, hue=\"class\", diag_kind=\"hist\") ;"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-danger\">\n",
+    "<strong>TODO:</strong> hide tech stuff below.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
    "metadata": {
     "collapsed": true
    },
@@ -1162,6 +1776,12 @@
        "      \n",
        "       \n",
        "    }\n",
+       "    \n",
+       "    .alert-block {\n",
+       "        width: 95%;\n",
+       "        margin: auto;\n",
+       "    }\n",
+       "    \n",
        "    .rendered_html code\n",
        "    {\n",
        "        color: black;\n",
@@ -1233,7 +1853,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1269,6 +1889,12 @@
     "      \n",
     "       \n",
     "    }\n",
+    "    \n",
+    "    .alert-block {\n",
+    "        width: 95%;\n",
+    "        margin: auto;\n",
+    "    }\n",
+    "    \n",
     "    .rendered_html code\n",
     "    {\n",
     "        color: black;\n",
diff --git a/01_introduction.json b/01_introduction.json
new file mode 100644
index 0000000000000000000000000000000000000000..decba45ad37fe7ab857b4db618c9534038a10583
--- /dev/null
+++ b/01_introduction.json
@@ -0,0 +1,707 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Chapter 1: General Introduction to machine learning (ML)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## ML = \"learning models from data\"\n",
+    "\n",
+    "\n",
+    "### About models\n",
+    "\n",
+    "A \"model\" allows us to explain observations and to answer questions. For example:\n",
+    "\n",
+    "   1. Where will my car at given velocity stop if I apply break now?\n",
+    "   2. Where on the night sky will I see the moon tonight?\n",
+    "   2. Is the email I received spam?\n",
+    "   4. Which article "X" should I recommend to a customer "Y"?\n",
+    "   \n",
+    "- The first two questions can be answered based on existing physical models (formulas). \n",
+    "\n",
+    "- For the  questions 3 and 4 it is difficult to develop explicitly formulated models. \n",
+    "\n",
+    "### What is needed to apply ML ?\n",
+    "\n",
+    "Problems 3 and 4 have the following in common:\n",
+    "\n",
+    "- No exact model known or implementable because we have a vague understanding of the problem domain.\n",
+    "- But enough data with sufficient and implicit information is available.\n",
+    "\n",
+    "\n",
+    "\n",
+    "E.g. for the spam email example:\n",
+    "\n",
+    "- We have no explicit formula for such a task (and devising one would boil down to lots of trial with different statistics or scores and possibly weighting of them).\n",
+    "- We have a vague understanding of the problem domain because we know that some words are specific to spam emails and others are specific to my personal and work-related emails.\n",
+    "- My mailbox is full with examples of both spam and non-spam emails.\n",
+    "\n",
+    "**In such cases machine learning offers approaches to build models based on example data.**\n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<i class=\"fa fa-info-circle\"></i>\n",
+    "The closely-related concept of <strong>data mining</strong> usually means use of predictive machine learning models to explicitly discover previously unknown knowledge from a specific data set, such as, for instance, association rules between customer and article types in the Problem 4 above.\n",
+    "</div>\n",
+    "\n",
+    "\n",
+    "\n",
+    "## ML: what is \"learning\" ?\n",
+    "\n",
+    "To create a predictive model, we must first **train** such a model on given data. \n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<i class=\"fa fa-info-circle\"></i>\n",
+    "Alternative names for \"to train\" a model are \"to <strong>fit</strong>\" or \"to <strong>learn</strong>\" a model.\n",
+    "</div>\n",
+    "\n",
+    "\n",
+    "All ML algorithms have in common that they rely on internal data structures and/or parameters. Learning then builds up such data structures or adjusts parameters based on the given data. After that such models can be used to explain observations or to answer questions.\n",
+    "\n",
+    "The important difference between explicit models and models learned from data:\n",
+    "\n",
+    "- Explicit models usually offer exact answers to questions\n",
+    "- Models we learn from data usually come with inherent uncertainty."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "## Some history\n",
+    "\n",
+    "Some parts of ML are older than you might think. This is a rough time line with a few selected achievements from this field:\n",
+    "\n",
+    "    1805: Least squares regression\n",
+    "    1812: Bayes' rule\n",
+    "    1913: Markov Chains\n",
+    "\n",
+    "    1951: First neural network\n",
+    "    1957-65: \"k-means\" clustering algorithm\n",
+    "    1959: Term \"machine learning\" is coined by Arthur Samuel, an AI pioneer\n",
+    "    1969: Book \"Perceptrons\": Limitations of Neural Networks\n",
+    "    1984: Book \"Classification And Regression Trees\"\n",
+    "    1974-86: Neural networks learning breakthrough: backpropagation method\n",
+    "    1995: Randomized Forests and Support Vector Machines methods\n",
+    "    1998: Public appearance: first ML implementations of spam filtering methods; naive Bayes Classifier method\n",
+    "    2006-12: Neural networks learning breakthrough: deep learning\n",
+    "    \n",
+    "So the field is not as new as one might think, but due to \n",
+    "\n",
+    "- more available data\n",
+    "- more processing power \n",
+    "- development of better algorithms \n",
+    "\n",
+    "more applications of machine learning appeared during the last 15 years."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Machine learning with Python\n",
+    "\n",
+    "Currently (2018) `Python` is the  dominant programming language for ML. Especially the advent of deep-learning pushed this forward. First versions of frameworks such as `TensorFlow` or `PyTorch` got early `Python` releases.\n",
+    "\n",
+    "The prevalent packages in the Python eco-system used for ML include:\n",
+    "\n",
+    "- `pandas` for handling tabular data\n",
+    "- `matplotlib` and `seaborn` for plotting\n",
+    "- `scikit-learn` for classical (non-deep-learning) ML\n",
+    "- `TensorFlow`, `PyTorch` and `Keras` for deep-learning.\n",
+    "\n",
+    "`scikit-learn` is very comprehensive and the online-documentation itself provides a good introducion into ML."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## ML lingo: What are \"features\" ?\n",
+    "\n",
+    "A typical and very common situation is that our data is presented as a table, as in the following example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>alcohol_content</th>\n",
+       "      <th>bitterness</th>\n",
+       "      <th>darkness</th>\n",
+       "      <th>fruitiness</th>\n",
+       "      <th>is_yummy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3.739295</td>\n",
+       "      <td>0.422503</td>\n",
+       "      <td>0.989463</td>\n",
+       "      <td>0.215791</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.207849</td>\n",
+       "      <td>0.841668</td>\n",
+       "      <td>0.928626</td>\n",
+       "      <td>0.380420</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4.709494</td>\n",
+       "      <td>0.322037</td>\n",
+       "      <td>5.374682</td>\n",
+       "      <td>0.145231</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4.684743</td>\n",
+       "      <td>0.434315</td>\n",
+       "      <td>4.072805</td>\n",
+       "      <td>0.191321</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4.148710</td>\n",
+       "      <td>0.570586</td>\n",
+       "      <td>1.461568</td>\n",
+       "      <td>0.260218</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   alcohol_content  bitterness  darkness  fruitiness  is_yummy\n",
+       "0         3.739295    0.422503  0.989463    0.215791         0\n",
+       "1         4.207849    0.841668  0.928626    0.380420         0\n",
+       "2         4.709494    0.322037  5.374682    0.145231         1\n",
+       "3         4.684743    0.434315  4.072805    0.191321         1\n",
+       "4         4.148710    0.570586  1.461568    0.260218         0"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "features = pd.read_csv(\"beers.csv\")\n",
+    "features.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<i class=\"fa fa-warning\"></i>&nbsp;<strong>Definitions</strong>\n",
+    "<ul>\n",
+    "    <li>every row of such a matrix is called a <strong>sample</strong> or <strong>feature vector</strong>;</li>\n",
+    "    <li>the cells in a row are <strong>feature values</strong>;</li>\n",
+    "    <li>every column name is called a <strong>feature name</strong> or <strong>attribute</strong>.</li>\n",
+    "</ul>\n",
+    "\n",
+    "Features are also commonly called <strong>variables</strong>.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This table shown holds five samples.\n",
+    "\n",
+    "The feature names are `alcohol_content`, `bitterness`, `darkness`, `fruitiness` and `is_yummy`.\n",
+    "\n",
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<i class=\"fa fa-warning\"></i>&nbsp;<strong>More definitions</strong>\n",
+    "<ul>\n",
+    "    <li>The first four features have continuous numerical values within some ranges - these are called <strong>numerical features</strong>,</li>\n",
+    "    <li>the <code>is_yummy</code> feature has only a finite set of values (\"categories\"): <code>0</code> (\"no\") and <code>1</code> (\"yes\") - this is called a <strong>categorical feature</strong>.</li>\n",
+    "</ul>\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A straight-forward application of machine-learning on the previous beer dataset is: **\"can we predict `is_yummy` from the other features\"** ?\n",
+    "\n",
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<i class=\"fa fa-warning\"></i>&nbsp;<strong>Even more definitions</strong>\n",
+    "\n",
+    "In context of the question above we call:\n",
+    "<ul>\n",
+    "    <li>the <code>alcohol_content</code>, <code>bitterness</code>, <code>darkness</code>, <code>fruitiness</code> features our <strong>input features</strong>, and</li>\n",
+    "    <li>the <code>is_yummy</code> feature our <strong>target/output feature</strong> or a <strong>label</strong> of our data samples.\n",
+    "        <ul>\n",
+    "            <li>Values of categorical labels, such as <code>0</code> (\"no\") and <code>1</code> (\"yes\") here, are often called <strong>classes</strong>.</li>\n",
+    "        </ul>\n",
+    "    </li>\n",
+    "</ul>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Most of the machine learning algorithms require that every sample is represented as a vector containing numbers. Let's look now at two examples of how one can create feature vectors from data which is not naturally given as vectors:\n",
+    "\n",
+    "1. Feature vectors from images\n",
+    "2. Feature vectors from text.\n",
+    "\n",
+    "### 1st Example: How to represent images as  feature vectors ?\n",
+    "\n",
+    "In order to simplify our explanations we only consider grayscale images in this section. \n",
+    "Computers represent images as matrices. Every cell in the matrix represents one pixel, and the numerical value in the matrix cell its gray value.\n",
+    "\n",
+    "So how can we represent images as vectors?\n",
+    "\n",
+    "To demonstrate this we will now load a sample dataset that is included in `scikit-learn`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.datasets import load_digits\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['DESCR', 'data', 'images', 'target', 'target_names']\n"
+     ]
+    }
+   ],
+   "source": [
+    "dd = load_digits()\n",
+    "print(dir(dd))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's plot the first ten digits from this data set:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1440x360 with 10 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "N = 10\n",
+    "\n",
+    "plt.figure(figsize=(2 * N, 5))\n",
+    "\n",
+    "for i, image in enumerate(dd.images[:N]):\n",
+    "    plt.subplot(1, N, i + 1).set_title(dd.target[i])\n",
+    "    plt.imshow(image, cmap=\"gray\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The data is a set of 8 x 8 matrices with values 0 to 15 (black to white). The range 0 to 15 is fixed for this specific data set. Other formats allow e.g. values 0..255 or floating point values in the range 0 to 1."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "images.ndim: 3\n",
+      "images[0].shape: (8, 8)\n",
+      "images[0]:\n",
+      " [[ 0.  0.  5. 13.  9.  1.  0.  0.]\n",
+      " [ 0.  0. 13. 15. 10. 15.  5.  0.]\n",
+      " [ 0.  3. 15.  2.  0. 11.  8.  0.]\n",
+      " [ 0.  4. 12.  0.  0.  8.  8.  0.]\n",
+      " [ 0.  5.  8.  0.  0.  9.  8.  0.]\n",
+      " [ 0.  4. 11.  0.  1. 12.  7.  0.]\n",
+      " [ 0.  2. 14.  5. 10. 12.  0.  0.]\n",
+      " [ 0.  0.  6. 13. 10.  0.  0.  0.]]\n",
+      "images.shape: (1797, 8, 8)\n",
+      "images.size: 115008\n",
+      "images.dtype: float64\n",
+      "images.itemsize: 8\n",
+      "target.size: 1797\n",
+      "target_names: [0 1 2 3 4 5 6 7 8 9]\n",
+      "DESCR:\n",
+      " Optical Recognition of Handwritten Digits Data Set\n",
+      "===================================================\n",
+      "\n",
+      "Notes\n",
+      "-----\n",
+      "Data Set Characteristics:\n",
+      "    :Number of Instances: 5620\n",
+      "    :Number of Attributes: 64\n",
+      "    :Attribute Information: 8x8 image of integer pixels in the range 0..16.\n",
+      "    :Missing Attribute Values: None\n",
+      "    :Creator: E. Alpaydin (alpaydin '@' boun.edu.tr)\n",
+      "    :Date: July; 1998\n",
+      "\n",
+      "This is a copy of the test set of the UCI ML hand-written digits datasets\n",
+      "http://archive.ics.uci.edu/ml/datas \n",
+      "[...]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"images.ndim:\", dd.images.ndim) # number of dimensions of the array\n",
+    "print(\"images[0].shape:\", dd.images[0].shape) # dimensions of a first sample array\n",
+    "print(\"images[0]:\\n\", dd.images[0]) # first sample array\n",
+    "print(\"images.shape:\", dd.images.shape) # dimensions of the array of all samples\n",
+    "print(\"images.size:\", dd.images.size) # total number of elements of the array\n",
+    "print(\"images.dtype:\", dd.images.dtype) # type of the elements in the array\n",
+    "print(\"images.itemsize:\", dd.images.itemsize) # size in bytes of each element of the array\n",
+    "print(\"target.size:\", dd.target.size) # size of the target feature vector (labels of samples)\n",
+    "print(\"target_names:\", dd.target_names) # classes vector\n",
+    "print(\"DESCR:\\n\", dd.DESCR[:500], \"\\n[...]\") # description of the dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To transform such an image to a feature vector we just have to flatten the matrix by concatenating the rows to one single vector of size 64:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "image_vector.shape: (64,)\n",
+      "image_vector: [ 0.  0.  5. 13.  9.  1.  0.  0.  0.  0. 13. 15. 10. 15.  5.  0.  0.  3.\n",
+      " 15.  2.  0. 11.  8.  0.  0.  4. 12.  0.  0.  8.  8.  0.  0.  5.  8.  0.\n",
+      "  0.  9.  8.  0.  0.  4. 11.  0.  1. 12.  7.  0.  0.  2. 14.  5. 10. 12.\n",
+      "  0.  0.  0.  0.  6. 13. 10.  0.  0.  0.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "image_vector = dd.images[0].flatten()\n",
+    "print(\"image_vector.shape:\", image_vector.shape)\n",
+    "print(\"image_vector:\", image_vector)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1797, 8, 8)\n",
+      "(1797, 64)\n",
+      "[ 0.  0.  5. 13.  9.  1.  0.  0.  0.  0. 13. 15. 10. 15.  5.  0.  0.  3.\n",
+      " 15.  2.  0. 11.  8.  0.  0.  4. 12.  0.  0.  8.  8.  0.  0.  5.  8.  0.\n",
+      "  0.  9.  8.  0.  0.  4. 11.  0.  1. 12.  7.  0.  0.  2. 14.  5. 10. 12.\n",
+      "  0.  0.  0.  0.  6. 13. 10.  0.  0.  0.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(dd.images.shape)\n",
+    "\n",
+    "# reashape to 1797, 64:\n",
+    "images_flat = dd.images.reshape(-1, 64)\n",
+    "print(images_flat.shape)\n",
+    "print(images_flat[0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 2nd Example: How to present textual data as feature vectors ?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If we start a machine learning project for texts, we first have to choose a dictionary - set of words for this project. The final representation of a text as a feature vector depends on this dictionary.\n",
+    "\n",
+    "Such a dictionary can be very large, but for the sake of simplicity we use a very small enumerated dictionary to explain the overall procedure:\n",
+    "\n",
+    "\n",
+    "| Word     | Index |\n",
+    "|----------|-------|\n",
+    "| like     | 0     |\n",
+    "| dislike  | 1     |\n",
+    "| american | 2     |\n",
+    "| italian  | 3     |\n",
+    "| beer     | 4     |\n",
+    "| pizza    | 5     |\n",
+    "\n",
+    "To \"vectorize\" a given text we count the words in the text which also exist in the vocabulary and put the counts at the given `Index`.\n",
+    "\n",
+    "E.g. `\"I dislike american pizza, but american beer is nice\"`:\n",
+    "\n",
+    "| Word     | Index | Count |\n",
+    "|----------|-------|-------|\n",
+    "| like     | 0     | 0     |\n",
+    "| dislike  | 1     | 1     |\n",
+    "| american | 2     | 2     |\n",
+    "| italian  | 3     | 0     |\n",
+    "| beer     | 4     | 1     |\n",
+    "| pizza    | 5     | 1     |\n",
+    "\n",
+    "The respective feature vector is the `Count` column, which is:\n",
+    "\n",
+    "`[0, 1, 2, 0, 1, 1]`\n",
+    "\n",
+    "In real case scenarios the dictionary is much bigger, which often results in vectors with only few non-zero entries (so called **sparse vectors**)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Below you find is a short code example to demonstrate how text feature vectors can be created with `scikit-learn`.\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<i class=\"fa fa-info-circle\"></i>\n",
+    "Such vectorization is unsually not done manually. Actually there are improved but more complicated procedures which compute multiplicative weights for the vector entries to emphasize informative words such as, e.g., <a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html\">\"term frequency-inverse document frequency\" vectorizer</a>.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0 1 2 0 1 1]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "from itertools import count\n",
+    "\n",
+    "vocabulary = {\n",
+    "    \"like\": 0,\n",
+    "    \"dislike\": 1,\n",
+    "    \"american\": 2,\n",
+    "    \"italian\": 3,\n",
+    "    \"beer\": 4,\n",
+    "    \"pizza\": 5,\n",
+    "}\n",
+    "\n",
+    "vectorizer = CountVectorizer(vocabulary=vocabulary)\n",
+    "\n",
+    "# this how one can create a count vector for a given piece of text:\n",
+    "vector = vectorizer.fit_transform([\n",
+    "    \"I dislike american pizza. But american beer is nice\"\n",
+    "]).toarray().flatten()\n",
+    "print(vector)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## ML lingo: What are the different types of datasets?\n",
+    "\n",
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<i class=\"fa fa-warning\"></i>&nbsp;<strong>Definitions</strong>\n",
+    "\n",
+    "Subset of data used for:\n",
+    "<ul>\n",
+    "    <li>learning (training) a model is called a <strong>training set</strong>;</li>\n",
+    "    <li>improving ML method performance by adjusting its parameters is called <strong>validation set</strong>;</li>\n",
+    "    <li>assesing final performance is called <strong>test set</strong>.</li>\n",
+    "</ul>\n",
+    "</div>\n",
+    "\n",
+    "<table>\n",
+    "    <tr>\n",
+    "        <td><img src=\"./data_split.png\" width=300px></td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "        <td style=\"font-size:75%\"><center>Img source: https://dziganto.github.io</center></td>\n",
+    "    </tr>\n",
+    "</table>\n",
+    "\n",
+    "\n",
+    "You will learn more on how to select wisely subsets of your data and about related issues later in the course. For now just remember that:\n",
+    "1. the training and validation datasets must be disjunct during each iteration of the method improvement, and\n",
+    "1. the test dataset must be independent from the model (hence, from the other datasets), i.e. it is indeed used only for the final assesment of the method's performance (think: locked in the safe until you're done with model tweaking).\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Taxonomy of machine learning\n",
+    "\n",
+    "Most applications of ML belong to two categories: **supervised** and **unsupervised** learning.\n",
+    "\n",
+    "### Supervised learning \n",
+    "\n",
+    "In supervised learning the data comes with an additional target/label value that we want to predict. Such a problem can be either \n",
+    "\n",
+    "- **classification**: we want to predict a categorical value.\n",
+    "    \n",
+    "- **regression**: we want to predict numbers in a given range.\n",
+    "    \n",
+    "  \n",
+    "\n",
+    "Examples of supervised learning:\n",
+    "\n",
+    "- Classification: predict the class `is_yummy`  based on the attributes `alcohol_content`,\t`bitterness`, \t`darkness` and `fruitiness` (a standard two class problem).\n",
+    "\n",
+    "- Classification: predict the digit-shown based on a 8 x 8 pixel image (a multi-class problem).\n",
+    "\n",
+    "- Regression: predict temperature based on how long sun was shining in the last 10 minutes.\n",
+    "\n",
+    "\n",
+    "\n",
+    "<table>\n",
+    "    <tr>\n",
+    "    <td><img src=\"./classification-svc-2d-poly.png\" width=400px></td>\n",
+    "    <td><img src=\"./regression-lin-1d.png\" width=400px></td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "        <td><center>Classification</center></td>\n",
+    "        <td><center>Linear regression</center></td>\n",
+    "    </tr>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Unsupervised learning \n",
+    "\n",
+    "In unsupervised learning the training data consists of samples without any corresponding target/label values and the aim is to find structure in data. Some common applications are:\n",
+    "\n",
+    "- Clustering: find groups in data.\n",
+    "- Density estimation, novelty detection: find a probability distribution in your data.\n",
+    "- Dimension reduction (e.g. PCA): find latent structures in your data.\n",
+    "\n",
+    "Examples of unsupervised learning:\n",
+    "\n",
+    "- Can we split up our beer data set into sub-groups of similar beers?\n",
+    "- Can we reduce our data set because groups of features are somehow correlated?\n",
+    "\n",
+    "<table>\n",
+    "    <tr>\n",
+    "    <td><img src=\"./cluster-image.png/\" width=400px></td>\n",
+    "    <td><img src=\"./nonlin-pca.png/\" width=400px></td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "        <td><center>Clustering</center></td>\n",
+    "        <td><center>Dimension reduction: detecting 2D structure in 3D data</center></td>\n",
+    "    </tr>\n",
+    "</table>\n",
+    "\n",
+    "\n",
+    "\n",
+    "This course will only introduce concepts and methods from **supervised learning**."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/02_classification.ipynb b/02_classification.ipynb
index 40174882337c2e34d641b6cf0c66ad9f2c474e35..a5f8dbd0d498f3ae8fa460dda3e9dc7407418a8e 100644
--- a/02_classification.ipynb
+++ b/02_classification.ipynb
@@ -11,55 +11,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As we learnd *classification* belongs to the field of *supervised learning* where we want to predict a category. Such categories can be \n",
+    "As we have learned in the previous chapter *classification* belongs to the field of *supervised learning*. In such problems the aim is to predict a category. Such categories can be \n",
     "\n",
     "- ok/not ok\n",
     "- good / bad / dont't know\n",
     "- digit 0 ... / digit 9\n",
     "- etc \n",
     "\n",
-    "This chapter now introduces core concepts of classification."
+    "In this chapter we introduce the core concepts of classification."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Examples below only discuss the two classes case !?\n",
-    "\n",
-    "The following examples in this script will only consider two class problems. \n",
-    "Before we dig deeper into classification, we want to say a few words on how can we handle more than two classes. \n",
-    "\n",
-    "The general idea for `n > 2` classes is to build multiple 2-class classifiers and determine a winner:\n",
-    "\n",
-    "- the **one-vs-all** approach builds `n` classifiers for \"label n vs. the rest\". \n",
-    "\n",
-    "\n",
-    "- the **one-vs-one** approach builds  classifiers for `label i vs label j` (in total `n x (n - 1) / 2` classifiers).\n",
-    "\n",
-    "For new incoming data then the `n` resp. `n x n` classifiers are applied and the overall winner class is the final result.\n",
-    "\n",
-    "For the digit classificaton example:\n",
-    "\n",
-    "- we could build 10 classifiers `is it 0 or one of the others`, `is it 1 one or one of the others`, etc.\n",
-    "  \n",
-    "  A new image then would hopefully yield `True` for exactly one of the classifier, in other situations the result is unclear.\n",
-    "   \n",
-    "   \n",
-    "- we could build 45 classifiers `is it 0 or 1`, `is it 0 or 2`, etc.\n",
-    "\n",
-    "  For a new image we could choose the final outcome based on which of the classifiers \"wins\" most often.\n",
-    "\n",
-    "\n",
-    "#### Note:\n",
-    "In `scikit-learn` many classifiers support such multi-class problems out of the box and also offers functionalities to implement `one-vs-all` or `one-vs-one` for specific cases. See https://scikit-learn.org/stable/modules/multiclass.html"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -71,142 +32,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Geometrical interpretation of feature vectors\n",
-    "\n",
-    "If you take the values of a input-feature vector you can imagine this as a point in a d-dimensional space.\n",
-    "\n",
-    "\n",
-    "E.g. if a data set consists of  feature vectors of length 2, you can interpret the first feature value as a x-coordinate and the second value as a y-coordinate.\n",
-    "\n",
-    "Labeled features then group such points to different point clouds.\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Example\n",
-    "\n",
-    "For sake of simplicity we restrict our beer data set to two features: `alcohol_content` and `bitterness`.\n",
-    "\n",
-    "The following plot shows how these reduced feature vectors can be interpreted as point clouds. For every feature vector we color points in green or red to indicate the according classes:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 156,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline\n",
-    "\n",
-    "# read some data\n",
-    "beer_data = pd.read_csv(\"beers.csv\")\n",
-    "\n",
-    "xv = beer_data[\"alcohol_content\"]\n",
-    "yv = beer_data[\"bitterness\"]\n",
-    "\n",
-    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
-    "\n",
-    "plt.scatter(xv, yv, color=colors, marker='.');\n",
-    "plt.xlabel(\"alcohol_content\")\n",
-    "plt.ylabel(\"bitterness\");"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "is tells us that the two features lack information for a 100% separation of classes. \n",
-    "2. We could draw a line to separate most points of both clouds.\n",
-    "3. Later we could use this line to make a guess for classifying a new feature vector.\n",
-    "\n",
-    "Eventually **classification is about finding a procedure to separate two or more point clouds.**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we can see why more features can support classification. We add the `darkness` feature as third dimension.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 319,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x504 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from mpl_toolkits.mplot3d import Axes3D\n",
-    "\n",
-    "fig = plt.figure(figsize=(20, 7))\n",
-    "\n",
-    "xv = beer_data[\"alcohol_content\"]\n",
-    "yv = beer_data[\"darkness\"]\n",
-    "zv = beer_data[\"bitterness\"]\n",
-    "\n",
-    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
-    "\n",
-    "def plot(ax):\n",
-    "    ax.scatter(xv, yv, zv, c=colors, marker='.') \n",
-    "\n",
-    "    ax.set_xlabel('alcohol_content')\n",
-    "    ax.set_ylabel('darkness')\n",
-    "    ax.set_zlabel('bitterness');\n",
-    "\n",
-    "ax = fig.add_subplot(121, projection='3d')\n",
-    "\n",
-    "plot(ax)\n",
-    "ax.view_init(5, 275)\n",
-    "\n",
-    "ax = fig.add_subplot(122, projection='3d')\n",
-    "plot(ax)\n",
-    "ax.view_init(5, 5);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The first view is very similar to the scatter plot before as we don't see the effects of the third feature.\n",
-    "\n",
-    "The second view shows the same cube rotated by 90Ëš to the left. We see that the new dimenission adds extra information which could improve separation."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If we look at the beer example, we can assume that the person who rated beers has preferences like, \"I don't like high alcohol content\", \"I like fruity beer\", etc."
+    "If we look at the beer example, we can assume that the person who rated tbe beers has preferences like, \"I don't like high alcohol content\", \"I like fruity beer\", etc."
    ]
   },
   {
@@ -227,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 359,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -339,18 +165,25 @@
        "max           5.955272    1.080170    7.221285    0.535315    1.000000"
       ]
      },
-     "execution_count": 359,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# read some data\n",
+    "beer_data = pd.read_csv(\"beers.csv\")\n",
+    "\n",
     "beer_data.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 362,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -367,12 +200,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 363,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAADgJJREFUeJzt3W+MpeVdxvHvVRbSQrHU7IjIMi4xzSYNMUIm1YrBCVuarSXQF30BCaRUzPjCImgTAjWG8Z2JpraJRrMBCqa4qPyJTdNUSMsEm1Asu4D8WfpH3MIidCHEUNQEsT9fzCFupzNz5pznmTlnbr6fZLLnPOeZc19MyLX33ud57klVIUna/t4x6QCSpH5Y6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RG7NjKwXbu3Fm7d+/eyiElads7ePDgK1U1M+y8LS303bt388gjj2zlkJK07SX5/kbOc8lFkhphoUtSIyx0SWqEhS5JjbDQJakRQws9ya1JjiV5cpXXPp2kkuzcnHiSpI3ayAz9NmDfyoNJzgI+DDzXcyZJ0hiGFnpVPQi8uspLfwZcD/g77CRpCoy1hp7kUuCFqnq85zySpDGNfKdokpOBz7C83LKR8xeABYDZ2dlRh5PWtbi0uP7r8+u/LrVknBn6LwBnA48nOQLsAg4l+dnVTq6q/VU1V1VzMzNDtyKQJI1p5Bl6VT0B/MxbzwelPldVr/SYS5I0oo1ctngAeAjYk+Rokqs3P5YkaVRDZ+hVdfmQ13f3lkaSNDbvFJWkRljoktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUiJE359I2tbjYzzmSppYzdElqhIUuSY2w0CWpERa6JDXCQpekRljoktQIC12SGmGhS1IjLHRJaoSFLkmNGFroSW5NcizJk8cd+5MkzyT5lyT3Jjltc2NKkobZyAz9NmDfimP3A+dU1S8C3wFu7DmXJGlEQwu9qh4EXl1x7L6qenPw9JvArk3IJkkaQR+7Lf4m8LdrvZhkAVgAmJ2d7WE4aX3zty39/5OlxbVPdHdJNabTh6JJ/gB4E7hjrXOqan9VzVXV3MzMTJfhJEnrGHuGnuQq4GJgb1VVb4kkSWMZq9CT7AOuB369qv6r30iSpHFs5LLFA8BDwJ4kR5NcDfw5cCpwf5LHkvzVJueUJA0xdIZeVZevcviWTcgiSerAO0UlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRfWyfq7ebjW476/a00pZyhi5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpEUMLPcmtSY4lefK4Yz+d5P4k3x38+d7NjSlJGmYjM/TbgH0rjt0AfK2q3gd8bfBckjRBQwu9qh4EXl1x+FLg9sHj24GP9ZxLkjSicdfQT6+qFwePXwJO7ymPJGlMnbfPrapKUmu9nmQBWACYnZ3tOpw0kqUjS2u/trTI4vzilmWRNtu4M/QfJDkDYPDnsbVOrKr9VTVXVXMzMzNjDidJGmbcQv8S8InB408A/9BPHEnSuDZy2eIB4CFgT5KjSa4G/hi4KMl3gQ8NnkuSJmjoGnpVXb7GS3t7ziJJ6sA7RSWpERa6JDXCQpekRljoktQIC12SGmGhS1IjLHRJaoSFLkmNsNAlqREWuiQ1ovP2udKaFhf7PU/SupyhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWpEp0JP8ntJnkryZJIDSd7ZVzBJ0mjGLvQkZwK/C8xV1TnACcBlfQWTJI2m65LLDuBdSXYAJwP/3j2SJGkcY++2WFUvJPlT4Dngv4H7quq+leclWQAWAGZnZ8cdTlthCnc9XFxanOrxF+fXf30rbIeM2hpdllzeC1wKnA38HHBKkitWnldV+6tqrqrmZmZmxk8qSVpXlyWXDwH/VlUvV9X/APcAv9pPLEnSqLoU+nPAryQ5OUmAvcDhfmJJkkY1dqFX1cPAXcAh4InBe+3vKZckaUSdfgVdVd0E3NRTFklSB94pKkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5Jjeh0p6jUi3W27Z0/srS5Q094e16pT87QJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpERa6JDWiU6EnOS3JXUmeSXI4yQf7CiZJGk3XvVw+D3y1qj6e5CTg5B4ySZLGMHahJ3kPcAFwFUBVvQG80U8sSdKouiy5nA28DHwhyaNJbk5ySk+5JEkj6rLksgM4D7imqh5O8nngBuAPjz8pyQKwADA7O9thuLeZdbaUHeu8KbW0ydvjbraNbL+7OL/+OcPeY9j3Dx1/k99f06PLDP0ocLSqHh48v4vlgv8xVbW/quaqam5mZqbDcJKk9Yxd6FX1EvB8kj2DQ3uBp3tJJUkaWderXK4B7hhc4fIs8MnukSRJ4+hU6FX1GDDXUxZJUgfeKSpJjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpEV33ctm+WtmedsrzbfftcafBRrboneT4br87PZyhS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWpE50JPckKSR5N8uY9AkqTx9DFDvxY43MP7SJI66FToSXYBHwVu7ieOJGlcXWfonwOuB37UQxZJUgdjb5+b5GLgWFUdTDK/znkLwALA7OzsuMNNTt/b7E75drej2s7b487ftrSh85aumu80zqS3v9XbR5cZ+vnAJUmOAHcCFyb54sqTqmp/Vc1V1dzMzEyH4SRJ6xm70KvqxqraVVW7gcuAr1fVFb0lkySNxOvQJakRvfwKuqpaApb6eC9J0nicoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiN6uVNU0sZt1S6PW2Uju0kuzg8/Zzublp+BM3RJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRYxd6krOSPJDk6SRPJbm2z2CSpNF02ZzrTeDTVXUoyanAwST3V9XTPWWTJI1g7Bl6Vb1YVYcGj38IHAbO7CuYJGk0vWyfm2Q3cC7w8CqvLQALALOzs+MPsrjY73l9m9S4Ukcb2fp10mNs9tazw/Jtl+1/O38omuTdwN3AdVX12srXq2p/Vc1V1dzMzEzX4SRJa+hU6ElOZLnM76iqe/qJJEkaR5erXALcAhyuqs/2F0mSNI4uM/TzgSuBC5M8Nvj6jZ5ySZJGNPaHolX1DSA9ZpEkdeCdopLUCAtdkhphoUtSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RGWOiS1Ihets+dKm5jq0bM37bU23stXTXf23uNYqP/DcPybcUWvy1whi5JjbDQJakRFrokNcJCl6RGWOiS1AgLXZIaYaFLUiMsdElqhIUuSY2w0CWpEZ0KPcm+JN9O8r0kN/QVSpI0urELPckJwF8AHwHeD1ye5P19BZMkjabLDP0DwPeq6tmqegO4E7i0n1iSpFF1KfQzgeePe350cEySNAGpqvG+Mfk4sK+qfmvw/Ergl6vqUyvOWwAWBk/3AN8ecaidwCtjhdxa5uyXOftlzn5tdc6fr6qZYSd12Q/9BeCs457vGhz7MVW1H9g/7iBJHqmquXG/f6uYs1/m7Jc5+zWtObssuXwLeF+Ss5OcBFwGfKmfWJKkUY09Q6+qN5N8CvhH4ATg1qp6qrdkkqSRdPoVdFX1FeArPWVZy9jLNVvMnP0yZ7/M2a+pzDn2h6KSpOnirf+S1IipLfTtsq1AkluTHEvy5KSzrCXJWUkeSPJ0kqeSXDvpTKtJ8s4k/5zk8UHOP5p0pvUkOSHJo0m+POks60lyJMkTSR5L8sik86wlyWlJ7kryTJLDST446UwrJdkz+Dm+9fVakusmnestU7nkMthW4DvARSzfsPQt4PKqenqiwVaR5ALgdeCvq+qcSedZTZIzgDOq6lCSU4GDwMem7eeZJMApVfV6khOBbwDXVtU3JxxtVUl+H5gDfqqqLp50nrUkOQLMVdVUX9+d5Hbgn6rq5sGVcydX1X9MOtdaBj31Asv333x/0nlgemfo22Zbgap6EHh10jnWU1UvVtWhweMfAoeZwrt6a9nrg6cnDr6mb8YBJNkFfBS4edJZWpDkPcAFwC0AVfXGNJf5wF7gX6elzGF6C91tBTZJkt3AucDDk02yusEyxmPAMeD+qprKnMDngOuBH006yAYUcF+Sg4M7t6fR2cDLwBcGy1g3Jzll0qGGuAw4MOkQx5vWQtcmSPJu4G7guqp6bdJ5VlNV/1tVv8TynccfSDJ1y1hJLgaOVdXBSWfZoF+rqvNY3hn1dwbLhNNmB3Ae8JdVdS7wn8A0f3Z2EnAJ8PeTznK8aS30DW0roI0brEnfDdxRVfdMOs8wg39uPwDsm3SWVZwPXDJYm74TuDDJFycbaW1V9cLgz2PAvSwvaU6bo8DR4/5FdhfLBT+tPgIcqqofTDrI8aa10N1WoEeDDxtvAQ5X1WcnnWctSWaSnDZ4/C6WPxR/ZrKpflJV3VhVu6pqN8v/b369qq6YcKxVJTll8EE4gyWMDwNTd0VWVb0EPJ9kz+DQXmCqPrRf4XKmbLkFOt4pulm207YCSQ4A88DOJEeBm6rqlsmm+gnnA1cCTwzWpwE+M7jTd5qcAdw+uHrgHcDfVdVUXxK4DZwO3Lv8dzo7gL+pqq9ONtKargHuGEzingU+OeE8qxr8xXgR8NuTzrLSVF62KEka3bQuuUiSRmShS1IjLHRJaoSFLkmNsNAlqREWuiQ1wkKXpEZY6JLUiP8DFPVjkb7Nro0AAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -387,7 +220,7 @@
     "scores_good = scores[beer_data[\"is_yummy\"] == 1]\n",
     "scores_bad = scores[beer_data[\"is_yummy\"] == 0]\n",
     "\n",
-    "plt.hist(scores_good,  bins=25, color=\"green\", alpha=.5) \n",
+    "plt.hist(scores_good,  bins=25, color=\"blue\", alpha=.5) # alpha makes bars translucent\n",
     "plt.hist(scores_bad, bins=25, color=\"red\", alpha=.5);"
    ]
   },
@@ -398,6 +231,33 @@
     "Consequence: A simple classifier could use these scores and use a threshold around 3.5 to assign a class label."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "not yummuy\n",
+      "yummy\n"
+     ]
+    }
+   ],
+   "source": [
+    "def classify(beer_feature):\n",
+    "    scores =( -0.1 * beer_feature[\"alcohol_content\"] + 3 * beer_feature[\"bitterness\"] \n",
+    "             + 0.8 * beer_feature[\"darkness\"] + 1.8 * beer_feature[\"fruitiness\"])\n",
+    "    if scores > 3.5:\n",
+    "        return \"yummy\"\n",
+    "    else:\n",
+    "        return \"not yummuy\"\n",
+    "    \n",
+    "print(classify(beer_data.iloc[0]))\n",
+    "print(classify(beer_data.iloc[1]))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -407,6 +267,17 @@
     "*Comment*: although this seems to be a simple concept, linear classifiers can work very well, especially for higher resp. very high dimensions."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise section 1\n",
+    "\n",
+    "Modify the weights in the beer classifiers and check if you can improve separation in the histogram.\n",
+    "\n",
+    "Try weights  `[-0.05837955,  3.69479038,  0.6666397 ,  1.62751838]` in the beer classifier. These are the weights the `LogisticRegression` classifier in the previous script computed.\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -435,12 +306,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 364,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -452,17 +323,10 @@
     }
    ],
    "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline\n",
-    "\n",
-    "# read some data\n",
-    "beer_data = pd.read_csv(\"beers.csv\")\n",
-    "\n",
     "xv = beer_data[\"alcohol_content\"]\n",
     "yv = beer_data[\"bitterness\"]\n",
     "\n",
-    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
+    "colors = [\"rb\"[i] for i in beer_data[\"is_yummy\"]]\n",
     "\n",
     "plt.scatter(xv, yv, color=colors, marker='.');\n",
     "plt.xlabel(\"alcohol_content\")\n",
@@ -492,12 +356,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 322,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1440x504 with 2 Axes>"
       ]
@@ -517,7 +381,7 @@
     "yv = beer_data[\"darkness\"]\n",
     "zv = beer_data[\"bitterness\"]\n",
     "\n",
-    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
+    "colors = [\"rb\"[i] for i in beer_data[\"is_yummy\"]]\n",
     "\n",
     "def plot(ax):\n",
     "    ax.scatter(xv, yv, zv, c=colors, marker='.') \n",
@@ -529,11 +393,11 @@
     "ax = fig.add_subplot(121, projection='3d')\n",
     "\n",
     "plot(ax)\n",
-    "ax.view_init(3, 273)\n",
+    "ax.view_init(3, 270)\n",
     "\n",
     "ax = fig.add_subplot(122, projection='3d')\n",
     "plot(ax)\n",
-    "ax.view_init(3, 3);"
+    "ax.view_init(3, 0);"
    ]
   },
   {
@@ -549,9 +413,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Decision surfaces\n",
+    "### Decision surfaces\n",
+    "\n",
+    "The concept of decision surfaces is crucial in classification. \n",
     "\n",
-    "For a weighted sum for two features `x` and `y` the equation\n",
+    "Lets start with an easy to visualize example 2D: \n",
+    "\n",
+    "For a score based on a weighted sum for two features `x` and `y` the equation\n",
     "\n",
     "\n",
     "     weight_x * x + weight_y * y = threshold\n",
@@ -567,7 +435,7 @@
     "     weight_x * x + weight_y * y > threshold\n",
     "      \n",
     "\n",
-    "are located on different sides of this line. Such a classifier thus determines a line which separates the feature space into two parts according to the two classes."
+    "are located on opposite sides of this line. Such a classifier thus determines a line which separates the feature space in two parts according to the two classes."
    ]
   },
   {
@@ -588,12 +456,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 283,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -618,7 +486,7 @@
     "above_points = points_2d[scores > threshold]\n",
     "below_points = points_2d[scores < threshold]\n",
     "\n",
-    "plt.scatter(above_points[:, 0], above_points[:, 1], c=\"g\", marker=\".\", label=\"above\")\n",
+    "plt.scatter(above_points[:, 0], above_points[:, 1], c=\"b\", marker=\".\", label=\"above\")\n",
     "plt.scatter(below_points[:, 0], below_points[:, 1], c=\"r\", marker=\".\", label=\"below\")\n",
     "\n",
     "# plot decision line\n",
@@ -660,68 +528,6 @@
     "Again: **Here the classifier separates the 4d space into two parts, the separation boundary is a plane in this space.**"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To illustrate this, we use ignore `fruitiness` such that we have 3 features:\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 319,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x504 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from mpl_toolkits.mplot3d import Axes3D\n",
-    "\n",
-    "fig = plt.figure(figsize=(20, 7))\n",
-    "\n",
-    "xv = beer_data[\"alcohol_content\"]\n",
-    "yv = beer_data[\"darkness\"]\n",
-    "zv = beer_data[\"bitterness\"]\n",
-    "\n",
-    "colors = [\"rg\"[i] for i in beer_data[\"is_yummy\"]]\n",
-    "\n",
-    "def plot(ax):\n",
-    "    ax.scatter(xv, yv, zv, c=colors, marker='.') \n",
-    "\n",
-    "    ax.set_xlabel('alcohol_content')\n",
-    "    ax.set_ylabel('darkness')\n",
-    "    ax.set_zlabel('bitterness');\n",
-    "\n",
-    "ax = fig.add_subplot(121, projection='3d')\n",
-    "\n",
-    "plot(ax)\n",
-    "ax.view_init(5, 275)\n",
-    "\n",
-    "ax = fig.add_subplot(122, projection='3d')\n",
-    "plot(ax)\n",
-    "ax.view_init(5, 5);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The first view is very similar to the scatter plot we have already seen before as we barely can see the effects of the third feature.\n",
-    "\n",
-    "The second view shows the same cube rotated by 90Ëš to the left. We see that the new dimenission adds extra information which could improve separation."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -730,7 +536,7 @@
     "\n",
     "For the sake of simplicity and visualisation we continue with 2 dimensional examples.\n",
     "\n",
-    "It is clear that such examples only represent very small subset of realistic ML scenarios. But most concepts can be illustrated in 2- or 3D without loss or generality.\n",
+    "It is clear that such examples only represent very small subset of realistic ML scenarios. But most concepts can be illustrated in 2- or 3D without loss of generality.\n",
     "\n",
     "The examples also might look artificial, but general classifiers should work on all kind of problems."
    ]
@@ -751,7 +557,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -810,7 +616,7 @@
        "2 -0.670938 -5.905074      1"
       ]
      },
-     "execution_count": 165,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -822,12 +628,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 285,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -842,7 +648,7 @@
     "xv = df[\"a\"]\n",
     "yv = df[\"b\"]\n",
     "\n",
-    "colors = [\"rg\"[i] for i in df[\"label\"]]\n",
+    "colors = [\"rb\"[i] for i in df[\"label\"]]\n",
     "plt.figure(figsize=(5, 5))\n",
     "plt.xlim([-8, 8])\n",
     "plt.ylim([-8, 8])\n",
@@ -853,7 +659,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this case the decision line is curved and is looks like a circle. A hand-crafted classifier could classify new points based on their distance to the center.\n",
+    "In this case a suitable decision surface is curved and is looks like a circle. A hand-crafted classifier could classify new points based on their distance to the center.\n",
     "\n",
     "\n",
     "It should be clear that a linear classifier is not suitable for this problem !\n",
@@ -871,12 +677,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 286,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -902,9 +708,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Another example for feature engineering\n",
-    "\n",
-    "**COMMENT UWE: is this section too much ?**"
+    "### Another example for feature engineering"
    ]
   },
   {
@@ -916,7 +720,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 370,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -989,7 +793,7 @@
        "4 -0.691444 -0.219826   True"
       ]
      },
-     "execution_count": 370,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1001,12 +805,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 349,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 360x360 with 1 Axes>"
       ]
@@ -1021,7 +825,7 @@
     "xv = xor[\"x\"]\n",
     "yv = xor[\"y\"]\n",
     "\n",
-    "colors = [\"rg\"[i] for i in xor[\"label\"]]\n",
+    "colors = [\"rb\"[i] for i in xor[\"label\"]]\n",
     "plt.figure(figsize=(5, 5))\n",
     "plt.xlim([-2, 2])\n",
     "plt.ylim([-2, 2])\n",
@@ -1035,14 +839,14 @@
    "source": [
     "Again, this example data set can not be separated by a line. But we see that points where the sign of x and y are the same appear to form one class, and point with different signs for x and y belong to the other class.\n",
     "\n",
-    "How can we engineer a more descriptive feature which describes \"x and y have the same sign\" ? We just have to recall that the product of two numbers is postive if and only if both numbers have the same sign.\n",
+    "How can we engineer a more descriptive feature which describes \"x and y have the same sign\" ? Here we can use the fact that the product of two numbers is postive if and only if both numbers have the same sign.\n",
     "\n",
     "So lets plot a histogram over `x * y`:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 350,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -1079,15 +883,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Other examples for feature engineering\n",
+    "### Other examples of feature engineering\n",
+    "\n",
     "\n",
-    "Feature engineering requires understanding your data to extract meaningful and discriminative information.\n",
+    "Feature engineering requires understanding your data to extract meaningful and discriminative (?) information.\n",
     "\n",
     "Proper feature engineering can boost the performance of a classifier significantly.\n",
     "\n",
     "Examples:\n",
     "\n",
-    "- nudity classifier: color histograms of full image and image patches\n",
+    "- early classifiers to detect nudity in images used color histograms of full image and image patches (plus more features) to create suitable features. \n",
     "\n",
     "\n",
     "- spam classifier: choice of dictionary, extra feature which counts words only in capital cases or words with unusual characters (like \"pill$\")\n",
@@ -1096,20 +901,20 @@
     "- to distinguish background noise from speach audio samples, the frequency distribution might help. Also std deviation  or a histogram of loudness / energy of a sample might help.\n",
     "\n",
     "\n",
-    "- to classify DNA sequences, n-gram histograms (n>=1) can be benefitial (-> GC content).\n",
+    "- to classify DNA sequences, n-gram histograms (n>=1) can be benefitial.\n",
     "\n",
     "\n",
-    "- for geopolitical data a feature \"state\"  can be enhanced by \"political system\" and or \"GBP\".\n",
+    "- for geopolitical data a feature \"state\"  can be enhanced by \"political system\" and / or \"gross national product (GNP)\".\n",
     "\n",
     "\n",
     "- for sales data add a feature \"is week day\".\n",
     "\n",
     "\n",
-    "Most cases are beyond the 2- or 3D case and visual inspection can be difficult. Thus engineering features as we did in the 2D examples before becomes tricky. But here are some general recommendations:\n",
+    "Most cases are beyond the 2- or 3D case and visual inspection can be difficult. Thus engineering features as we did in the 2D examples becomes tricky. But here are some general recommendations:\n",
     "\n",
     "- use statistics (mean, std deviations, higher order features) as well as histograms if applicable.\n",
     "\n",
-    "- polynomial features (e.g. extend `x, y` to `x, y, x * y, x ** 2, y ** 2`) (see examples section also).\n",
+    "- polynomial features (e.g. extend `x, y` to `x, y, x * y, x ** 2, y ** 2`) (see examples section).\n",
     "\n",
     "- image classification: dig into *computer vision* to learn about image descriptors.\n",
     "\n",
@@ -1119,48 +924,127 @@
     "\n",
     "*Comment*: \n",
     "\n",
-    "We will see later that many features can introduce other problems (-> *overfitting*) but there are also methods for feature selection in this case (see https://scikit-learn.org/stable/modules/feature_selection.html)"
+    "We will see later that adding too many features can introduce other problems (-> *overfitting*) but there are also methods for feature selection in this case (see https://scikit-learn.org/stable/modules/feature_selection.html)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Exercise section"
+    "## Examples below only discuss the two classes case !?\n",
+    "\n",
+    "\n",
+    "The following examples in this script will only consider two class problems. \n",
+    "Before we dig deeper into classification, we want to say a few words on how can we handle more than two classes. \n",
+    "\n",
+    "\n",
+    "The general idea for `n > 2` classes is to build multiple 2-class classifiers and determine a winner:\n",
+    "\n",
+    "- the **one-vs-all** approach builds `n` classifiers for \"label n vs. the rest\". \n",
+    "\n",
+    "\n",
+    "- the **one-vs-one** approach builds  classifiers for `label i vs label j` (in total `n x (n - 1) / 2` classifiers).\n",
+    "\n",
+    "For new incoming data then the `n` resp. `n x n` classifiers are applied and the overall winner class is the final result.\n",
+    "\n",
+    "For the digit classificaton example:\n",
+    "\n",
+    "- we could build 10 classifiers `is it 0 or one of the others`, `is it 1 one or one of the others`, etc.\n",
+    "  \n",
+    "  A new image then would hopefully yield `True` for exactly one of the classifier, in other situations the result is unclear.\n",
+    "   \n",
+    "   \n",
+    "- we could build 45 classifiers `is it 0 or 1`, `is it 0 or 2`, etc.\n",
+    "\n",
+    "  For a new image we could choose the final outcome based on which of the classifiers \"wins\" most often.\n",
+    "\n",
+    "\n",
+    "#### Note:\n",
+    "In `scikit-learn` many classifiers support such multi-class problems out of the box and also offers functionalities to implement `one-vs-all` or `one-vs-one` for specific cases. See https://scikit-learn.org/stable/modules/multiclass.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise section 2"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "1. Modify the weights in the beer classifiers and check if you can improve separation in the histogram.\n",
+    "To prepare the next bigger exercise, we quickly introduce how to add so called polynomial features to our data:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          0         1         2         3         4\n",
+      "0 -1.539782  0.950822  2.370928 -1.464059  0.904063\n",
+      "1  0.436266 -1.768324  0.190328 -0.771460  3.126968\n",
+      "2 -1.466436  1.391890  2.150435 -2.041118  1.937358\n",
+      "3 -1.037642 -0.953587  1.076700  0.989482  0.909329\n",
+      "4 -0.691444 -0.219826  0.478094  0.151997  0.048323\n",
+      "5  1.436550 -0.046027  2.063676 -0.066121  0.002119\n",
+      "6  0.664361 -1.234410  0.441375 -0.820094  1.523768\n",
+      "7  0.164649 -1.848453  0.027109 -0.304346  3.416779\n",
+      "8 -1.883945 -0.222088  3.549248  0.418402  0.049323\n",
+      "9  0.934993 -1.081893  0.874212 -1.011563  1.170493\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.preprocessing import PolynomialFeatures\n",
     "\n",
-    "Try weights  `[-0.05837955,  3.69479038,  0.6666397 ,  1.62751838]` in the beer classifier. These are the weights the `LogisticRegression` classifier in the previous script computed.\n",
-    "\n"
+    "df = pd.read_csv(\"xor.csv\")\n",
+    "features = df.iloc[:10, :-1]\n",
+    "preproc = PolynomialFeatures(2, include_bias=False)\n",
+    "data = preproc.fit_transform(features)\n",
+    "print(pd.DataFrame(data))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "2. The following script learns classifiers on different data sets and plots decision surfaces."
+    "In this case \n",
+    "- columns 0 and 1 are $x$ and $y$ from the original data set.\n",
+    "- column 2 is $x^2$\n",
+    "- column 3 is $x y$\n",
+    "- column 4 is $y^2$.\n",
+    "\n",
+    "A complete description can be found here: https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The following script now learns classifiers on different data sets and plots decision surfaces."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 358,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "487 out of 500 predicted correctly\n"
+      "113 out of 200 predicted correctly\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -1189,7 +1073,6 @@
     "    y = np.linspace(ymin, ymax, N) \n",
     "    points = np.array(np.meshgrid(x, y)).T.reshape(-1, 2)\n",
     "  \n",
-    "\n",
     "    if preproc is not None:\n",
     "        points_for_clf = preproc.fit_transform(points)\n",
     "        features = preproc.fit_transform(features)\n",
@@ -1200,12 +1083,12 @@
     "    predicted = clf.predict(features)\n",
     "    print(sum(predicted == labels), \"out of\", len(labels), \"predicted correctly\")\n",
     "    classes = np.array(clf.predict(points_for_clf), dtype=bool) \n",
-    "    plt.plot(points[classes][:, 0], points[classes][:, 1], \"g\" + marker, markersize=1, alpha=.05);\n",
+    "    plt.plot(points[classes][:, 0], points[classes][:, 1], \"b\" + marker, markersize=1, alpha=.05);\n",
     "    plt.plot(points[~classes][:, 0], points[~classes][:, 1], \"r\" + marker, markersize=1, alpha=.05);\n",
     "\n",
     "\n",
     "df = pd.read_csv(\"2d_points.csv\")\n",
-    "df = pd.read_csv(\"xor.csv\")\n",
+    "# df = pd.read_csv(\"xor.csv\")\n",
     "\n",
     "features = df.iloc[:, :-1]\n",
     "labels = df.iloc[:, -1]\n",
@@ -1218,12 +1101,12 @@
     "# clf = DecisionTreeClassifier(max_depth=6)\n",
     "# clf = KNeighborsClassifier(10)\n",
     "\n",
-    "preproc = PolynomialFeatures()\n",
-    "# preproc = None\n",
+    "#preproc = PolynomialFeatures(2, include_bias=False)\n",
+    "preproc = None\n",
     "\n",
     "train_and_plot_decision_surface(clf, preproc, features, labels)\n",
     "\n",
-    "colors = [\"rg\"[i] for i in labels]\n",
+    "colors = [\"rb\"[i] for i in labels]\n",
     "plt.scatter(features.iloc[:, 0], features.iloc[:, 1], color=colors, marker='.');"
    ]
   },
@@ -1233,7 +1116,9 @@
    "source": [
     "- modify the script to use the `xor.csv` data set.\n",
     "\n",
-    "- play with the other classifiers which are outcommented in the script and play with their parameters and deactivate the feature engineering step.\n"
+    "- play with the other classifiers which are outcommented in the script.\n",
+    "- play with their parameters.\n",
+    "- activate the feature engineering step and experiment with classifiers and their parameters.\n"
    ]
   },
   {
diff --git a/course_layout.md b/course_layout.md
index 88080b641fe472ce3a809a02a448b5aeea69ba8b..e27a0b48d8dcf57ee008a973fcfaa6b515eddbb4 100644
--- a/course_layout.md
+++ b/course_layout.md
@@ -93,7 +93,7 @@ TBD: prepare coding session
   - learn regressor for movie scores.
 
 
-## Part 3: accuracy, F1, ROC, ...
+## Part 4: accuracy, F1, ROC, ...
 
 Intention: accuracy is usefull but has pitfalls
 
@@ -104,7 +104,7 @@ Intention: accuracy is usefull but has pitfalls
   - classifier accuracy:
     - confusion matrix
     - accurarcy
-    - pitfalls for unbalanced data sets
+    - pitfalls for unbalanced data sets~
         e.g. diagnose HIV
     - precision / recall
     - ROC ?
@@ -117,7 +117,9 @@ Intention: accuracy is usefull but has pitfalls
 
 - fool them: give them other dataset where classifier fails.
 
-## Part 4: underfitting/overfitting
+## Part 3: underfitting/overfitting
+
+needs: simple accuracy measure.
 
 classifiers / regressors have parameters / degrees of freedom.