Hands-on machine learning with scikit-learn and scientific Python toolkits a practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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 w...
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| Format: | eBook |
| Language: | English |
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Birmingham, UK
Packt Publishing, Limited
2020
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | 1 volume illustrations |
| ISBN: | 9781838823580 |