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We used the dataset Telecom customer containing Revenue and Quality of Service metrics, as well demographic categorical data, to build models that will identify customers the telecom company is at highest risk of losing. A CRISP-DM approach was applied to build the required business insights.

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Practical-Business-Analytics

We used the dataset Telecom customer containing Revenue and Quality of Service metrics, as well demographic categorical data, to build models that will identify customers the telecom company is at highest risk of losing. A CRISP-DM approach was applied to build the required business insights. Requirements

RStudio - Latest version

Please refer Setup document for required libraries

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We used the dataset Telecom customer containing Revenue and Quality of Service metrics, as well demographic categorical data, to build models that will identify customers the telecom company is at highest risk of losing. A CRISP-DM approach was applied to build the required business insights.

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