Lasso Regression, Ridge Regression, L1 Regularization, L2 Regularization.
Adjust alpha as needed # Train the models lasso_model.fit(X_train, y_train) ridge_model.fit(X_train, y_train) # Make predictions on the test set y_pred_lasso = lasso_model.predict(X_test) y_pred_ridge = ridge_model.predict(X_test) # Calculate Mean Squared Error mse_lasso =