This book shows how to use Python libraries to get, clean, prepare, and analyze data at a professional level. Scott McCoy starts by showing how to use Pandas for data analysis and Seaborn for data visualization. He then goes on to show how to use Scikit-learn to create regression models that can be used to make predictions. To tie everything together, this book contains four realistic analyses that use real-world data.

<ASIN:1943873178 >

Author: Scott McCoy
Publisher: Mike Murach and Associates
Date: May 2024
Pages: 592
ISBN: 978-1943873173
Print: 1943873178
Audience: Python developers
Level: Intermediate
Category: Python

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