Scaling vs Normalizing: The Hidden Engine Behind Every Successful ML Model
When raw data arrives in wildly different ranges, the choice of scaling technique can make or break a model. This article walks through the math, best‑practice rules, and real‑world impact of Min‑Max, Standard, Robust, and Max‑Abs scaling, plus a practical PCA case study that shows why you should never skip preprocessing.
