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

HackBinghamtonArchives · Apr 2, 2019 · dc7ab0c · dc7ab0c
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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
@@ -130,7 +130,7 @@ logistic_model.fit(X_train, Y_train)
 ```
 
 In a very simple case, Logistic Regression can kind of be thought as drawing an
-S-shaped line of best fit. Here's an example of where that might come in handy:
+S-shaped line of best fit. Here's a visualization:
 
 ![Logistic Regression](images/logit.jpeg)