Feature Engineering for Machine Learning by Zheng & Casari

Master the art of transforming raw data into powerful predictors with this essential guide to feature engineering. Written by industry experts Alice Zheng and Amanda Casari, this book equips you with practical techniques and strategies to build better machine learning models. Learn how to select, create, and optimize features that drive model performance. From handling missing data and categorical variables to engineering domain-specific features, you'll discover methods that work across different algorithms and real-world scenarios. Perfect for data scientists, machine learning engineers, and anyone serious about improving their modeling capabilities. This comprehensive resource bridges the gap between raw data and production-ready models, making it invaluable for both beginners and experienced practitioners looking to elevate their machine learning projects.