scikit-learn : Machine Learning Simplified

Chapter 2. Linear Regression

In this chapter you will learn how to use linear models in regression problems. First, we will examine simple linear regression, which models the relationship between a response variable and single explanatory variable. Next, we will discuss multiple linear regression, a generalization of simple linear regression that can support more than one explanatory variable. Then, we will discuss polynomial regression, a special case of multiple linear regression that can effectively model nonlinear relationships. Finally, we will discuss how to train our models by finding the values of their parameters that minimize a cost function. We will work through a toy problem to learn how the models and learning algorithms work before ...