Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
train_test_split(X, y, test_size=0.2, random_state=42) # hyperparameters params = { "loss":"squared_error", "penalty":"l2", "alpha":0.001, "l1_ratio":0.15, "max_iter":10000, "learning_rate":"invscaling", "eta0":0.01, "shuffle":False, "random_state":10, "average":False } # model estimator =