Machine Learning, Regression, Data Science.
make_pipeline(StandardScaler(), SGDClassifier(loss="hinge", penalty="l2", max_iter=5)) sgdc.fit(x_train, y_train) y_pred = sgdc.predict(x_test) Logistic regression: Logistic regression is used for classification ML problems(output/dependant variable is categorical) by estimating the probabilty that