Machine Learning, Regression, Data Science.
poly_model.coef_) To avoid overfitting of the model(high variance), we can regularize i.e. penalise the size/weight of the coefficients. Ridge regression (L2 Regularization): The ridge coefficients minimize a penalized residual sum of squares(2-norms) of the model coefficients. The complexity