In this section you're going to learn about Linear Regression. You'll start by examining how linear regression works with only a single input data column. We call this Single Linear Regression.

You will also get introduced to several evaluation metrics that you can use to compare different regression models and determine which one is better. We will cover the RMSE, MSE and MAE metrics. You will also learn about an iterative learning algorithm called Gradient Descent that can be used to train a regression model.

And finally you'll look at the generalized regression case with more than one input column called Multiple Linear Regression.