Data Science Projects with Python - Second Edition

3. Details of Logistic Regression and Feature Exploration

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. After reading this chapter, you will be able to make a correlation plot of many features and a response variable and interpret logistic regression as a linear model.

Introduction

In the previous chapter, we developed a few example machine learning models using scikit-learn, to get familiar with how it works. However, the features we used, EDUCATION