by Soledad Galli
The “Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models” is a great book for machine learning professionals, AI engineers and data scientists. Soledad Galli is the author of this data mining book. Soledad Galli is a lead data scientist with more than 10 years of experience in world-class academic institutions and renowned business. She has researched, developed and out into production machine learning models for insurance claims, and fraud prevention.
In this book, the author uncovers the end-to-end feature engineering process across continuous, discrete and unstructured datasets. So, you will work with the best tools to streamline and improve the quality of your code. Additionally, Soledad Galli covers the Python recipes that will help you automate feature engineering to simplify complex processes. With the help of this book, you will also get to grips with different feature engineering strategies, like power transform, log transform across machine learning, etc. To sum it up, Python Feature Engineering Cookbook is a must-read book for all the Python developers.