Why Models Overfit and How to Actually Fix It

Overfitting is the silent killer of machine learning projects—your model looks perfect in training but fails in production. This guide reveals why powerful models naturally memorize data and provides battle-tested techniques (L2, Dropout, early stopping) to keep them generalized. Understanding these regularization fundamentals is essential for any ML engineer building models that perform in the real world.