Introduction: Logistic Regression and Feature Extraction
Explore how to quickly evaluate features for machine learning and gain an understanding of logistic regression. Learn to create correlation plots, interpret decision boundaries, and use Python tools like list comprehensions.
We'll cover the following...
We'll cover the following...
Overview
This chapter teaches you how to evaluate features quickly and efficiently, in order to know which ones will probably be most important for a machine learning model. Once we get a taste for this, we’ll explore the inner workings of logistic regression so you can continue your journey to mastery of this fundamental technique. ...