L1 Regularization, L2 Regularization, Pruning, Support Vector Machine.
import Lasso lasso = Lasso(alpha=1.0) lasso.fit(X_train, y_train) L2 Regularization (Ridge): from sklearn.linear_model import Ridge ridge = Ridge(alpha=1.0) ridge.fit(X_train, y_train) 3. Regularization in Deep Learning In deep learning, regularization becomes even more critical, given the large