Python, Ridge Regression, Lasso Regression, Elastic Net, Regularization.
"lr" : 0.1, "epoch" : 1000 } model = Ridge(**parameters) model.fit(X, y) y_pred = linear_reg.predict(X) score = r2_score(y, y_pred) print("r2 score", score) #OUT: The Cost in iteration 100----->1585.967932861848 :) The Cost in iteration 200----->1585.9679327740405 :) The Cost in iteration