Feature Engineering is a crucial process in data science that involves selecting, modifying, or creating features to improve model performance. This page showcases a variety of workflows that demonstrate best practices in feature selection, transformation, and extraction techniques. Whether you're looking to enhance predictive accuracy or streamline your data preparation, these workflows provide valuable insights. Explore our curated list of feature engineering workflows to elevate your data analysis skills and drive better results!
