3 Feature Selection Methods to Master
Why Choosing the Right Features Can Make or Break Your ML Model — 3 Proven Methods Explained
In the magical world of machine learning, data is our magical ingredient and feature selection is the process of using the magic wand to choose wisely.
Imagine standing before a warehouse full of colorful magic wands (features). We need to find the ones that can cast the most powerful spells (model predictions).
It’s no easy task, but don’t worry — today we’ll explore three magical secrets: filter methods, wrapper methods, and embedded methods to make your model lighter and more accurate.