Introduction to Regularization Machine learning models are powerful, but they have a flaw called overfitting. This happens when a model memorizes the training data’s quirks instead of learning the real patterns. It might perform perfectly on the data it was trained on but fail when faced with new examples. This gap highlights why regularization is
