Telecom Churn Prediction using Machine Learning

In every industry, customers are crucial. Customer churn can have a variety of effects and negative influence on sales. Analysis forecasting customer turnover must be key component any business. We will analyze forecast in the telecom industry our study. The study consumer behavior is crucial for telecommunications sector order to identify those who most likely cancel their subscriptions. Because there so much data available market becoming more competitive, businesses spending time trying keep present consumers than they win over new ones. mobile recently transitioned from being one that was expanding quickly saturated. goal companies refocus attention away attracting new, huge toward retaining existing Knowing which clients switch competitor future important this reason. Using machine learning techniques such as Decision Tree, Logistic Regression, Random Forest, Gradient Boosted Machine Extreme Boosting, model proposed analysis prediction telecommunication firms. performance various models also compared. On basis supplied dataset, comparisons made algorithm’s effectiveness.