International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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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
A Machine Learning Based Approach to Predict Customer Churn in Airline Industry : The Case of India
Author(s) | Krushna Bembade, Soumitra Das, Aditya Dixit, Aryan Raut, Aniket Yadav |
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Country | India |
Abstract | This research addresses the challenge of customer churn in the airline industry by leveraging machine learning (ML) techniques to predict and understand the factors influencing customer attrition. Drawing on a comprehensive dataset encompassing customer demographics, flight history, and service interactions, we employed rigorous data preprocessing techniques and evaluated various ML algorithms |
Keywords | Customer churn prediction, Machine Learning, Random Forest, Decision Trees, Support Vector Machine, Predictive Analytics, Customer Segmentation, Customer Lifetime Value, Classification Algorithms, Customer Feedback Loop, Customer Satisfaction Surveys |
Field | Engineering |
Published In | Volume 6, Issue 2, March-April 2024 |
Published On | 2024-04-28 |
Cite This | A Machine Learning Based Approach to Predict Customer Churn in Airline Industry : The Case of India - Krushna Bembade, Soumitra Das, Aditya Dixit, Aryan Raut, Aniket Yadav - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18026 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i02.18026 |
Short DOI | https://doi.org/gtsg7w |
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E-ISSN 2582-2160
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