Introduction Feature selection is a crucial step in building machine learning models, as irrelevant or redundant features can hinder model performance. In this blog post, we will explore two essential feature selection methods and apply them to a real-world dataset: eliminating low variance features and recursive feature elimination using cross-validation. Eliminating Low Variance Features: One…