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). 
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