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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
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
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 24 juillet 2020 |
| ISBN13 | 9781838826048 |
| Éditeurs | Packt Publishing Limited |
| Pages | 384 |
| Dimensions | 235 × 191 × 24 mm · 657 g |
| Langue et grammaire | Anglais |