Pradnya1208/Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
This project helps telecom companies predict which customers are likely to switch providers so they can proactively offer retention incentives. By analyzing customer data such as services used, contract details, payment methods, and demographics, it identifies 'high-risk' clients. This allows customer retention teams to focus their efforts on those most likely to churn.
102 stars. No commits in the last 6 months.
Use this if you are a telecom business aiming to reduce customer attrition by identifying and engaging with customers at risk of leaving.
Not ideal if your business is outside the telecom industry or if you lack detailed customer service, billing, and demographic data.
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Last pushed
Dec 29, 2021
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