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Introduction: Logistic Regression and Feature Extraction

Introduction: Logistic Regression and Feature Extraction

Get introduced to our topics for this chapter: feature evaluation and logistic regression as a linear model for assessing feature usefulness in modeling.

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. ...