Building Bulletproof ML Pipelines: Feature Engineering, Scaling, and Leakage-Free Preprocessing in scikit-learn

Why pipelines matter more than your algorithm choice There's a humbling pattern every ML engineer eventually faces: you train a model with 94% accuracy, deploy it, and watch it collapse to 61% in prod