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Applied Data Science with Python and Jupyter Cover

Applied Data Science with Python and Jupyter

Use powerful industry-standard tools to unlock new, actionable insights from your data

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|Sep 2024
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Table of Contents

  1. Jupyter Fundamentals
  2. Data Cleaning and Advanced Machine Learning
  3. Web Scraping and Interactive Visualizations
PDF ISBN: 978-1-78995-192-9
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 192
BISAC subjects:
COM018000,
COM089000,
COM062000
Thema subjects:
UNC,
GPH,
UYZF,
UNA,
UYZM

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