Walker, Michael

Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI

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ISBN 13:: 9781803239873
author:: Walker, Michael
format:: Paperback
publisher:: Packt Publishing
language:: English
Publication Year:: 2024
Pages:: 486
Dimensions:: 23.5 x 19.1 x 2.5 centimetres (0
Genre:: Computers, Server & Database, Data Warehousing,
Condition:: New
Availability:: Item usually sent within 5 working days

£45.77

Current Stock: 5

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Description

Description

Mastering data cleaning with Python is essential for accurate analysis and insights. This comprehensive cookbook provides expert techniques and tips to help you prepare your data for machine learning, NLP, and AI models.

Learn how to filter and summarize data, identify unexpected values, and generate visualizations to diagnose problems. You'll discover recipes for using supervised learning and Naive Bayes analysis, as well as build reusable functions and classes to tackle new data with confidence.

With this fully updated guide, you'll gain the skills to clean, monitor, and validate large data volumes, ensuring accurate results from your data-driven projects. Perfect for data scientists, analysts, and anyone working with Python and machine learning tools.

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