Data science relies on extracting meaningful insights from information. But not all data collected is relevant, and irrelevant features can create noise, weaken model accuracy, increase complexity, and slow computation. This is why Feature Selection has become a critical step in any machine learning workflow.

Feature selection ensures that models...