3
Regression
Learning Objectives
By the end of this chapter, you will be able to:
- Describe the mathematical logic involved in regression
- Illustrate the use of the NumPy library for Regression
- Identify linear regression with one variable and with multiple variables
- Use polynomial regression
This chapter covers the fundamentals of linear and polynomial regression.
Introduction
Regression is a broad topic that connects mathematical statistics, data science, machine learning, and artificial intelligence. As the basics of regression are rooted in mathematics, we will start by exploring the mathematical fundamentals.
Most of this topic will deal with different forms of linear regression, including linear regression with one variable, linear ...
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