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 regression with multiple variables, polynomial regression with one variable, and polynomial regression with multiple variables. Python provides a lot of support for performing regression operations.

We will also use alternative regression models while comparing and contrasting support vector Regression with forms of Linear Regression. Throughout this lesson, we will use stock price data loaded from an online service provider. The models in this lesson are not intended to provide trading or investment advice.