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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python - Softcover

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Synopsis

Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems

Key Features

  • Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python
  • Master the art of data-driven problem-solving with hands-on examples
  • Foster your theoretical and practical knowledge of supervised and unsupervised machine learning algorithms

Book Description

Machine learning is applied everywhere, from business to...

About the Author

Tarek Amr has 8 years of experience in data science and machine learning. After finishing his postgraduate degree at the University of East Anglia, he worked in a number of startups and scale-up companies in Egypt and the Netherlands. This is his second data-related book. His previous book covered data visualization using D3.js. He enjoys giving talks and writing about different computer science and business concepts and...

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  • PublisherPackt Publishing
  • Publication date2020
  • ISBN 10 1838826041
  • ISBN 13 9781838826048
  • BindingPaperback
  • LanguageEnglish
  • Number of pages384
  • Rating
    • 4.57 out of 5 stars
      7 ratings by Goodreads

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