Lasso Regression, Ridge Regression, L1 Regularization, L2 Regularization.
dealing with datasets that have a large number of features, linear regression can become prone to overfitting. Overfitting occurs when the model fits the training data too closely, capturing noise and leading to poor generalization on new data. Lasso Regression (L1 Regularization) It adds a penalty