内容简介
书名:Feature Engineering and Selection: A Practical Approach for Predictive Models出版社:CRC Press
作者:Max Kuhn, Kjell Johnson
出版年份:2021
电子书格式: pdf
简介:Master the art of feature engineering and selection with this practical guide by Max Kuhn and Kjell Johnson. Learn how to improve the accuracy and efficiency of your predictive models by transforming raw data into meaningful features. This book provides a comprehensive approach, covering various techniques, real-world examples, and practical advice for data scientists, machine learning engineers, and anyone working with predictive models. Enhance your data preprocessing skills and build more robust and accurate models. Gain valuable insights into feature selection methods for optimal model performance. Elevate your predictive modeling capabilities today!
ISBN:9781032090856, 97811
