A4.2.2 Feature selection
After a dataset has been cleaned, one practical question remains: which of its columns should the model actually see? A dataset can hold dozens or hundreds of features, and many carry no useful signal, repeat information already present, or actively mislead the model. Feature selection is the process of identifying and keeping only the most informative attributes, and it sits between data cleaning and model training....