This chapter introduces the readers to the in-depth knowledge of regression
analysis. Regression is a concept used both in statistics and computer science,
specifically in machine learning. However, the concept remains unaltered, but the
applications. This chapter will learn about two primarily used regression analysis
algorithms, linear regression and logistic regression. Here, each of the algorithms will
be described in detail, with hands-on application. We will also learn linear and logistic
regression in a more elaborative way while demonstrating through Python program
on a real-world dataset.
Keywords: Machine learning, Regression, Linear regression, Logistic regression,
Regressor, Logit, Prediction, Time-series analysis.
