Table of contents
Frontmatter
Contents
Preface
Chapter 1: Working With Data
Chapter 2: Outlier and Anomaly Detection
Chapter 3: Cleaning Datasets
Chapter 4: Introduction to Statistics
Chapter 5: Matplotlib and Seaborn
Appendix A: Introduction to Python
Appendix B: Introduction to Pandas
Index
11 chapters available
PDF ISBN: 978-1-5015-1865-2 | E-Pub ISBN: 978-1-5015-1868-3 | Paperback ISBN: 978-1-5015-2199-7 | DOI: 10.1515/9781501518652
Publisher: Mercury Learning and Information
Copyright owner: © 2023 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2023
Language: English
Pages: 300
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