Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
SGDRegressor(**params) estimator.fit(X_train, y_train) y_pred = estimator.predict(X_test) # evaluation mse = mean_squared_error(y_test, y_pred) print(f"Mean Squared Error: {mse}") # Mean Squared Error: 2887.045149417086 SGD Classifier Sklearn also has a linear classifier that works with SGD. The