CHURN PREDICTION IN TELECOM SECTOR USING MACHINE LEARNING

Abstract

As everyday life appears to be increasingly dependent on the use of telecom products and services, the global market for telecommunication is slated to grow at a phenomenal rate over the coming years.The global telecommunications market is continually transforming on account of the ongoing innovations and developments taking place consistently and at a fast pace.So for the growth of telecommunication market the loyalty of the customer is a key factor.In a highly competitive market, telecom operators can retain their values by building an affinity with subscribers, along with a pre-established expectation of trust driving loyalty.Keeping existing customers and acquiring new customers is a powerful weapon in today's market.But nowadays there are a lot of churn customers in the telecommunication industries.This leads to a need of a domain expert for predicting the churn customers.We implement churn prediction using various supervised algorithm for predicting churn.