Churn forecasting : XGBoost ML forecasting and analysis

Churn forecasting XGBoost ML forecasting and analysis

Make a predictive XGBoost model for churn and generate predictions for an out-of-sample dataset.

Detalles Bibliográficos
Autor Corporativo: Manning (Firm), publisher (publisher)
Otros Autores: Gold, Carl, presenter (presenter)
Formato: Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications [2022]
Edición:[First edition]
Materias:
Quantitative research > Marketing > Forecasting.
Customer relations > Management > Data processing.
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825858506719
Descripción
Sumario:Make a predictive XGBoost model for churn and generate predictions for an out-of-sample dataset.
Descripción Física:1 online resource (1 video file (1 hr., 13 min.)) : sound, color

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