XGBoost for Regression Predictive Modeling and Time Series Analysis : :: SCD d'Orléans

XGBoost for Regression Predictive Modeling and Time Series Analysis : Learn how to build, evaluate, and deploy predictive models with expert guidance

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...

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Dettagli Bibliografici
Autori principali:	Deka, Partha Pritam, Weiner, Joyce (Autore)
Altri autori:	Zicari, Roberto V. (Autore dell'introduzione etc.)
Natura:	Livre numérique
Lingua:	Anglais
Pubblicazione:	Birmingham : Packt Publishing 2024. Paris : Cyberlibris
Accesso online:	Accès Université d'Orléans et IFPM
Nota:	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

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