index.ipynb

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    "<div class=\"alert alert-block alert-danger\"><p>\n",
    "<strong>TODOs</strong>\n",
    "<ol>\n",
    "<li>Write script which removes the solution proposals (cells starting with <code>#SOLUTION</code>) and creates a new notebook.</li>\n",
    "</ol>\n",
    "</p></div>\n"
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    "<div class=\"alert alert-block alert-danger\">\n",
    "Course layout w/ local notebooks links .. anything in scope of org/general comments goes also here.\n",
    "</div>\n"
   ]
  },
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   "source": [
    "# Course: Introduction to Machine Learning with Python\n",
    "\n",
    "<div class=\"alert alert-block alert-warning\">\n",
    "    <p><i class=\"fa fa-warning\"></i>&nbsp;<strong>Goal</strong></p>\n",
    "    <p>Quickly get your hands dirty with Machine Learning and know what your doing.<p>\n",
    "</div>\n"
   ]
  },
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   "source": [
    "## What will you learn?\n",
    "\n",
    "* Basic concepts of Machine Learning (ML).\n",
    "* General overview of supervised learning and related methods.\n",
    "* How to quickly start with ML using `scikit-learn` Python library."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What will you NOT learn?\n",
    "\n",
    "* How to program with Python.\n",
    "* How exactly ML methods work.\n",
    "* Unsupervised learning methods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Course scripts\n",
    "\n",
    "<ol>\n",
    "    <li><a href=\"01_introduction.ipynb\">Introduction</a></li>\n",
    "    <li><a href=\"02_classification.ipynb\">Classification</a></li>\n",
    "    <li><a href=\"03_overfitting_and_cross_validation.ipynb\">Overfitting and cross-validation</a></li>\n",
    "    <li><a href=\"04_measuring_quality_of_a_classifier.ipynb\">Metrics for evaluating the performance</a></li>\n",
    "    <li><a href=\"05_classifiers_overview.ipynb\">An overview of classifiers</a></li>\n",
    "    <li><a href=\"06_preprocessing_pipelines_and_hyperparameter_optimization.ipynb\">Preprocessing pipelines and hyperparameters optmization</a></li>\n",
    "    <li>...</li>\n",
    "    \n",
    "</ol>"
   ]
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   "execution_count": null,
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