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kaggle

Telecom Case Study

Kaggle

@kaggle.skylord_telecom_case_study

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Use SHAP to identify main drivers

Dataset Description

Context

A company can grow by targeting existing customers. This increases the total wallet share and is more cost-effective. Through a propensity model we are trying to identify the drivers which will result in a customer to most likely adopt a higher value plan

Content

There are 5000 rows of customer data with around 27 anonymized variables.


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