Customer Churn Analysis in Telecom Organization

Author(s)	Utkarsh Kumar, Atharva Raghuwanshi, Poovammal E
Country	India
Abstract	This research focuses into analyzing and forecasting customer turnover within the telecom business by applying modern data analytics and machine learning approaches. Our objective is to create strong prediction models that can accurately detect prospective customers who are likely to churn at early stage. The enquiry involves a comprehensive analysis of past customer data, strategic creation of features, and use of various ensemble techniques.
Keywords	Machine Learning, Gradient Boosting, Logistic Regression, Neutral Networks, Support Vector Machines, XGBoost, CatBoost, Bagging Classifier, data analytics, customer retntion
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-04-30
Cite This	Customer Churn Analysis in Telecom Organization - Utkarsh Kumar, Atharva Raghuwanshi, Poovammal E - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18886
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.18886
Short DOI	https://doi.org/gtsns3

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