International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
Indexing Partners
Customer Churn Analysis in Telecom Organization
Author(s) | Utkarsh Kumar, Atharva Raghuwanshi, Poovammal E |
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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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E-ISSN 2582-2160
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