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

by Tarek Amr

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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...

Format:Paperback

Language:English

ISBN:1838826041

ISBN13:9781838826048

Release Date:July 2020

Publisher:Packt Publishing

Length:384 Pages

Weight:1.45 lbs.

Dimensions:0.8" x 7.5" x 9.3"

Related Subjects

Computers Computers & Technology

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

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