53. Overfitting: When Your Model Is Too Good at Being Wrong

Series: How Machines Learn: A Complete Guide from Zero to AI Engineer Phase 6: Machine Learning (The Core) You trained your model. It got 99% on training data. You tested it on new data. It got 61%. That gap is the problem. And it has a name: overfitting. This is one of the most important concepts in all of machine learning. If you don't understand it, you'll keep building models that look great in your notebook and fail in the real world. What You'll Learn Here What overfitting actually means i