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
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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