Building machine learning models isn’t just about choosing the right algorithm. The real power comes from feeding your model the right features — and removing the ones that add noise, redundancy, or unnecessary complexity.
This is where feature selection plays a central role.
Once you’ve collected and cleaned your dataset, you should never push...