Python 3 and Feature Engineering
Publisher:Mercury Learning and Information
By: Oswald Campesato
Paid access
|Dec 2023
Table of contents
Frontmatter
Contents
Preface
Chapter 1: Working With Datasets
Chapter 2: Outlier and Anomaly Detection
Chapter 3: Data Cleaning Tasks
Chapter 4: Data Wrangling
Chapter 5: Feature Selection
Chapter 6: Feature Engineering
Chapter 7: Dimensionality Reduction
Appendix: Working With awk
Index
12 chapters available
PDF ISBN: 978-1-68392-948-2 | E-Pub ISBN: 978-1-68392-947-5 | Paperback ISBN: 978-1-68392-949-9 | DOI: 10.1515/9781683929482
Publisher: Mercury Learning and Information
Copyright owner: © 2024 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2023
Language: English
Pages: 216
Keywords:
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