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

Name: 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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Author: Tarek Amr

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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

Tarek Amr

This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.

384 pages

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2020年7月24日
ISBN13	9781838826048
出版社	Packt Publishing Limited
ページ数	384
寸法	235 × 191 × 24 mm · 657 g
言語	英語