Feature Engineering for Modern Machine Learning with Scikit-Learn : :: SCD d'Orléans

Feature Engineering for Modern Machine Learning with Scikit-Learn : Mastering data preparation and transformation for robust ML models

Feature Engineering for Modern Machine Learning with Scikit-Learn : Mastering data preparation and transformation for robust ML models

Master feature engineering with Scikit-Learn! Learn to preprocess, transform, and automate data for machine learning. Boost predictive accuracy with pipelines, clustering, and advanced techniques for real-world projects. Key Features: Comprehensive guide to feature engineering for Scikit-Learn ; Han...

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Bibliografische gegevens
Coauteur:	Cuantum Technologies (Auteur)
Formaat:	Livre numérique
Taal:	Anglais
Gepubliceerd in:	Birmingham : Packt Publishing 2025. Paris : Cyberlibris
Online toegang:	Accès Université d'Orléans et IFPM
Opmerking:	Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781837026708.jpg Cyberlibris (ScholarVox) corpus Informatique
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Feature Engineering for Modern Machine Learning with Scikit-Learn, Mastering data preparation and transformation for robust ML models, Cuantum Technologies, Birmingham, Packt Publishing, 2025, 1 vol. (436 p.), 978-18-3702-671-5

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