English | 2023 | ISBN: ‎ 1683929527 | 387 pages | True PDF | 9.38 MB

Features

+Covers extensive topics related to cleaning datasets and working with models

+Includes Python-based code samples and a separate chapter on Matplotlib and Seaborn

+Features companion files with source code, datasets, and figures from the book

Table of Contents

1: Working with Data. 2: Outlier and Anomaly Detection. 3: Cleaning Data Sets.4: Working with Models. 5: Matplotlib and Seaborn. Appendix: Working with awk . Index.

About the Author

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, NLP, Android, and Data Science. He is the author/co-author of over thirty books including Data Science Fundamentals Pocket Pr , Python 3 for Machine Learning, and the Python Pocket Pr (Mercury Learning).