Feature Scaling Essentials

Understanding when to apply feature scaling is crucial for optimizing model performance. While linear regression can adapt to varying scales without scaling, gradient descent-based algorithms, like logistic regression and neural networks, require it for effective training. A simple rule of thumb: always scale features for gradient descent methods, but not for tree-based models.