TELECOM CUSTOMER CHURN PREDICTION SYSTEM

Abstract: Telecom industry has gained a huge growth in the last two decades. Because of the availability of a lot of options, many telecom companies are facing the problem of customer churn in the recent years. Because of the advancement of and indispensable need for internet, customers can easily change from one company to another. It may affect the profits of the Telecom companies if they don’t pay enough attention for customer churn. To pay attention to the customer churn, the Telecom companies should be able to predict which customers are likely to leave the company. Manually predicting this is almost impossible. With the help of machine learning algorithms, we can try to predict the customers who could possibly switch over. Once the companies know if a customer is going to churn, they can try to retain those customers through various strategies.

Keywords: Random Forest, Decision Tree, SMOTEENN, ML, Churn