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...

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Détails bibliographiques
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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