How To Regularize Your Regression

Linear regression is a simple yet effective supervised learning algorithm that finds applications in various fields. It is less data-hungry and performs well even with small amounts of training data. Regularization is used to avoid overfitting the model to the training data, but setting the regularization parameter appropriately is a challenge.