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

Media	Böcker Pocketbok (Bok med mjukt omslag och limmad rygg)
Releasedatum	24 juli 2020
ISBN13	9781838826048
Utgivare	Packt Publishing Limited
Antal sidor	384
Mått	235 × 191 × 24 mm · 657 g
Språk	Engelska