7.6: Logistic Regression
Logistic regression is a nonlinear modification to linear regression. The logistic function often arises in machine learning applications.
Here is an introductory example of how to apply scikit-learn to implement logistic regression. As you follow this programming example, make sure you understand how the variable definitions relate to the algorithm.
This video gives an example of implementing logistic regression. Given the K-NN, decision tree, and logistic regression classifiers, you should begin to see a theme arising based on the supervised learning pipeline. In the next section, we will complete the pipeline by exercising model evaluations using the techniques we've discussed.