EDA on the “Telecom users” dataset to gain insight into how customers’ demographics and behaviors have impact on churn. Three models were built with logistic regressor, random forest classifier, and gradient boosting classifier to predict whether clients would renew the contracts. The best-performed model, logistic regressor, reached an 80% accuracy.