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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| Collectivité auteur: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Birmingham :
Packt Publishing
2025.
Paris : Cyberlibris |
| Accès en ligne: | Accès Université d'Orléans et IFPM |
| Note: |
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 |