Machine Learning with PySpark: With Natural Language Processing and Recommender Systems

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

P. SinghMachine Learning with PySparkhttps://doi.org/10.1007/978-1-4842-7777-5_4

4. Linear Regression

Pramod Singh¹  

(1)

Bangalore, Karnataka, India

 

As we talked about in the previous chapter, Machine Learning is a very vast field, and there are multiple algorithms that fall under various categories, but linear regression is one of the most fundamental Machine Learning algorithms. This chapter focuses on building a linear regression model with PySpark and dives deep into the workings of a LR model. It will cover various assumptions to be considered before using LR along with different evaluation metrics. But before even jumping into understanding linear regression, ...