Machine Learning, Regularization, Linear Regression, Data Science, Overfitting.
and make the model more robust is regularization: A penalty term is added to the algorithm’s loss function. This changes the model’s weights which result from minimizing the loss function. The most popular regularization techniques are Lasso, Ridge (aka Tikhonov) and Elastic Net. For the exemplary