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Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Softcover
Synopsis
Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips.
Key Features
- Get to grips with new techniques for data preprocessing and cleaning for machine learning and NLP models
- Use new and updated AI tools and techniques for data cleaning tasks
- Clean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AI
Book Description
Jumping into data analysis without proper...
About the Author
Michael Walker has worked as a data analyst for over 30 years at a variety of educational institutions. He is currently the CIO at College Unbound in Providence, Rhode Island, in the United States. He has also taught data science, research methods, statistics, and computer programming to undergraduates since 2006.
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2024
- ISBN 10 1803239875
- ISBN 13 9781803239873
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages486
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Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI (Paperback or Softback)
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Python Data Cleaning Cookbook: Detect and remove dirty data and extract key insights with pandas, OpenAI, Spark, and more
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Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI
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