Python Feature Engineering Cookbook : A complete guide to crafting powerful features for your machine learning models
Leverage the power of Python to build real-world feature engineering and machine learning pipelines ready to be deployed to production. Key Features: Craft powerful features from tabular, transactional, and time-series data ; Develop efficient and reproducible real-world feature engineering pipeline...
Enregistré dans:
| Auteur principal: | Galli, Soledad |
|---|---|
| Autres auteurs: | Molnar, Christoph (Auteur de l'introduction, etc.) |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Accès en ligne: | Accès Université d'Orléans et IFPM |
| Note: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781835883594.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Python Feature Engineering Cookbook, A complete guide to crafting powerful features for your machine learning models, Soledad Galli, [Foreword by Christoph Molnar], Birmingham, Packt Publishing, 2024, 1 vol. (396 p.), 978-18-3588-358-7 |
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