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

© Pramod Singh 2019

Pramod SinghMachine Learning with PySpark https://doi.org/10.1007/978-1-4842-4131-8_4

4. Linear Regression

Pramod Singh¹ 

(1)

Bangalore, Karnataka, India

 

As we talked about Machine Learning in the previous chapter, it’s 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 an LR model. It will cover various assumptions to be considered before using LR along with different evaluation metrics. But before even jumping into trying to understand Linear Regression, we must understand the types of variables.

Variables ...