XGBoost for Regression Predictive Modeling and Time Series Analysis : Learn how to build, evaluate, and deploy predictive models with expert guidance
Master the art of predictive modeling with XGBoost and gain hands-on experience in building powerful regression, classification, and time series models using the XGBoost Python API. Key Features: ; Get up and running with this quick-start guide to building a classifier using XGBoost ; Get an easy-to...
Uloženo v:
| Hlavní autoři: | , |
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| Další autoři: | |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781805129608.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • XGBoost for Regression Predictive Modeling and Time Series Analysis, Learn how to build, evaluate, and deploy predictive models with expert guidance, Partha Pritam Deka, Joyce Weiner[Foreword by Prof. Roberto V. Zicari], Birmingham, Packt Publishing, 2024, 1 vol. (308 p.), 978-18-0512-305-7 |