Chapter 2. Linear Regression

"Honey! How much will gasoline cost next year?"

Linear regression is a technique to predict the value of a feature/attribute in a continuous range. It is similar to classification in a way that both types of algorithms solve a similar problem. But classification yields a discrete value as the tag while regression tries to predict a real value. In this chapter, you will learn how linear regression works and how it can be used in real-life settings.