Art of Feature Engineering

Delve into the world of data science with Art of Feature Engineering by Pablo Duboue, published by Cambridge University Press in 2020. This insightful guide spans 284 pages and is designed for data scientists eager to enhance their machine learning models through effective feature engineering.

Starting with foundational concepts and techniques, this book offers a comprehensive view of the field. It progresses to advanced topics across various domains, including text and image processing, making it an invaluable resource for both beginners and seasoned professionals. With practical case studies, readers will gain hands-on experience to apply these techniques in real-world scenarios.

Whether you are looking to refine your skills or expand your knowledge, Art of Feature Engineering is an essential addition to your data science library.