This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
D. Janardhan Reddy , V. Gopi Krishna, Sk. JIlani Basha, R. Pavan Kumar, K. Manohara Rao
In today's highly competitive marketplace, especially for businesses, retaining loyal customers is becoming increasingly challenging.In one scenario, losing a customer results in a loss of profits for the telecom industry's expansion, while in another, the cost of acquiring new customers is significantly higher than the cost of maintaining existing ones; in this critical scenario, the telecom industry ought to concentrate on maintaining existing customers.This project will use supervised machine learning algorithms, primarily Linear Discriminant Analysis, Support Vector Machine, K Nearest Neighbor, and Random Forest, to analyze the open dataset of customer data and predict customer stress.
Assistant Professor, Department of Computer Science & Engineering, PACE Institute of Technology & Sciences, Ongole, Andhra Pradesh, India
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