Data Science, Machine Learning, Regression, Data Analysis, Statistics.
Polynomial Regression (Good Fit) poly_model_good = make_pipeline(PolynomialFeatures(degree=2), LinearRegression()) poly_model_good.fit(x, y) Polynomial Regression (Overfitting) poly_model_overfit = make_pipeline(PolynomialFeatures(degree=15), LinearRegression()) poly_model_overfit.fit(x, y)