introduction to feature engineering

Covers fundamental ML algorithms and concepts. 1. Provides insights into data preprocessing and feature selection. 2. Includes coding exercises and case studies.

ftp.arcchurches.com·994 B

Each chapter of this book addresses one data problem: how to represent text data or image data, how to reduce the dimensionality of autogenerated features,

innovacion-tecnologia.com·247 B