Telecom Churn Analysis and Prediction using SMOTE oversampling and a Voting Classifier achieving an accuracy of 85.4%. The behaviour of the customers is predicted to help retain them. Analyzing all relevant customer data helps in developing focused customer retention programs.
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Telecom Churn Analysis and Prediction using SMOTE oversampling and a Voting Classifier achieving an accuracy of 85.4%. The behaviour of the customers is predicted to help retain them.
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