Feature Selection (Intrinsic Methods)

Explore intrinsic or embedded feature selection methods that identify important features during model training. Understand how regularization techniques like Ridge, Lasso, and Elastic-Net help reduce parameters, and see how tree-based models contribute. Learn to use Scikit Learn's SelectFromModel for practical feature selection implementation.