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Telecom-Churn-Case-Study

Problem statement

  • To build a predictive models to identify customers at high risk of churn and identify the main indicators of churn.
  • To define churn based on usage. i.e. customers who have not done any usage, either incoming or outgoing - in terms of calls, internet etc. over a period of time.
  • To define high-value customers based on a certain metric and predict churn only on high-value customers.
  • The Business objective is to predict the churn in the last month using the data from the first three months.

Designed and Developed by:

  • Vignesh Kumar
  • Vishal Augustine
  • Chaitanya

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Churn Prediction using various ML Classification algorithms

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