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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
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...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2020
- ISBN 10 1838826041
- ISBN 13 9781838826048
- BindingPaperback
- LanguageEnglish
- Number of pages384
- Rating
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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
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