Python, Ridge Regression, Lasso Regression, Elastic Net, Regularization.
tries to minimize this error. Mean squared error. Let’s add a penalty to the end of this equation. mse with ridge penalty. λ is a hyperparameter, a knob to tune the regularization level. If theta gets bigger, total error will get bigger, therefore model will not converge. So, whenever the model