From 63a9124dd3a36072e72871bdfafdc6009e0cdde6 Mon Sep 17 00:00:00 2001
From: Uwe Schmitt <uwe.schmitt@id.ethz.ch>
Date: Mon, 7 Jan 2019 17:49:42 +0100
Subject: [PATCH] minor spelling fixes on script 02
---
02_classification.ipynb | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/02_classification.ipynb b/02_classification.ipynb
index af49393..613d93a 100644
--- a/02_classification.ipynb
+++ b/02_classification.ipynb
@@ -233,7 +233,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Consequence: A simple classifier could use these scores and use a threshold around 3.5 to assign a class label."
+ "Consequence: A simple classifier could use these scores and use a threshold around 3.5 to assign a class label:"
]
},
{
@@ -280,7 +280,7 @@
"\n",
"Modify the weights in the beer classifiers and check if you can improve separation in the histogram.\n",
"\n",
- "In `scikit-lear` the weights of a trained linear are availble via the `coef_` attribute. Extract the weights from the `LogisticRegression` classifier example from the last script and try them."
+ "In `scikit-learn` the weights of a trained linear are availble via the `coef_` attribute. Extract the weights from the `LogisticRegression` classifier example from the last script and try them."
]
},
{
@@ -289,7 +289,7 @@
"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",
+ "If you take the values of a input-feature vector you can imagine this as a point in a n-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",
--
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