International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

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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