Regresión logística
Caso de estudio: Churn en clientes de Telco
Para esto usaremos datos publicados por IBM de la compañía TELCO, en donde nos muestra clientes y sus características, lo importante es poder entender que es lo que hace que un cliente ya NO quiera el servicio, a esto se le llama CHURN. Publicados aquí: https://www.ibm.com/docs/en/cognos-analytics/11.1.0?topic=samples-telco-customer-churn. y los descargamos de aquí: https://www.kaggle.com/datasets/blastchar/telco-customer-churn Esto usando la metodología CRISP-DM: https://www.ibm.com/docs/es/spss-modeler/saas?topic=dm-crisp-help-overview
Datos
Importar datos
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Manejo de datos
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Manejo de variables categóricas
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Análisis exploratorio de datos (EDA)
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Escalamiento de datos
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Análisis exploratorio de datos (EDA)
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Construcción del modelo
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Evaluación del modelo
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Matriz de confusión
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