Update Part 1 - Introduction to Machine Learning with scikit-learn.md

HackBinghamtonArchives · Apr 2, 2019 · f6f7d26 · f6f7d26
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diff --git a/Part 1 - Introduction to Machine Learning with scikit-learn.md b/Part 1 - Introduction to Machine Learning with scikit-learn.md
@@ -134,8 +134,8 @@ S-shaped line of best fit. Here's a visualization:
 
 ![Logistic Regression](images/logit.jpeg)
 
-But Logistic Regression is generally used for classifying discrete values, whereas
-Linear Regression is generally used for predicting continuous values.
+In short, Logistic Regression is generally used for classifying discrete values (e.g. choosing either 1 or 0), whereas
+Linear Regression is generally used for predicting continuous values (e.g. choosing a decimal between 1 and 0).
 
 ## Results