Numerical methods, regularization techniques, and useful concise algorithms.

Prevent overfitting by adding penalties to the objective function. L2 Regularization (Ridge)

1from sklearn.linear_model import Ridge 2 3model = Ridge(alpha=1.0) # alpha = lambda 4model.fit(X, y) L1 Regularization (Lasso)

Promotes …