Machine Learning, Artificial Intelligence, Python, Statistics, Mathematics.
P_test=PolynomialFeatures(d) P_test=P_test.fit_transform(np.array(x_test).reshape(-1,1)) T_test=t(x_test) T_test=np.array(T_test).reshape(-1,1) pred_test=reg.predict(P_test) pred_alpha_test.append(pred_test) error_test=0 for i in range(len(pred_test)):