CUSTOMER STRESS PREDICTION IN TELECOM INDUSTRIES USING MACHINE LEARNING

In the competitive world especially in enterprises market maintaining valuable customers is becoming a difficult task. one situation losing customer like decrease profits for telecom industry growth, another cost of acquiring new much higher than retaining existing customers, this critical industries should focus on customers. This project will analyze data which was collected as open dataset and predict stress by applying supervised machine learning algorithms mainly using Linear Discriminant Analysis, Support Vector Machine, K Nearest Neighbor Random Forest.