Chapter 4:

Regression

Learning Objectives

By the end of this chapter, you will be able to:

  • Formulate regression problems
  • Implement various types of regression approaches and its use cases
  • Analyze and choose the right regression approach
  • Connect statistics and machine learning through the lens of regression
  • Deep dive into model diagnostics

In this chapter, we will focus on various type of regression and when to use which one along with demonstrations in R.

Introduction

In the previous chapter, we understood linear regression models and the linear relationship between an input variable (independent variable) and a target variable (dependent variable or explanatory variable). If one variable is used as an independent variable, it is defined ...

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