This project predicts the propensity of a customer to leave a company(Telecom company in this case). Models that have been implemented are Logistic Regression, Support Vector Classifier, Kernel Support Vector Machine, K-Nearest Neighbours, Gaussian Naive Bayes and Random Forest. Random Forest algorithm was found the most effective with the highest accuracy.
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Rudresh22/Customer-Churn-Prediction
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