Imagine you built a model that perfectly predicts every single house price in your training dataset. You’re thrilled—until you try it on new houses and the predictions are embarrassingly wrong. That’s overfitting in a nutshell. In this chapter, we’ll learn how to spot it, fix it, and even turn it into a strength using clever combinations of models.