Working at a telecom company that offers phone and internet services, and we have a problem: some of our customers are churning. They no longer are using our services and are going to a different provider. To prevent that from happening, we develop a system for identifying these customers and offer them an incentive to stay. Working at a telecom company that offers phone and internet services, and we have a problem: some of our customers are churning. They no longer are using our services and are going to a different provider. To prevent that from happening, we develop a system for identifying these customers and offer them an incentive to stay.
The data set can be found on Kaggle: https://www.kaggle.com/blastchar/telco-customer-churn
The churn_prediction1 file contains findings, insights and the predictive regression model with an 84.3 % accuracy utilizing Kfold cross validation and DictVectorizer for feature engineering.