Predicting customer churn in telecommunication service provider industry using Random Forest / Wan Muhammad Naqib Zafran Wan Roslan
This project addresses the challenge of customer churn in the Telecommunications Service Provider (TSP) industry by focusing on the Random Forest algorithm for predictive modeling. This study aims to throughly explore the Random Forest algorithm, develop a robust Random Forest customer churn predict...
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Format: | Thesis |
Language: | English |
Published: |
2023
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Online Access: | https://ir.uitm.edu.my/id/eprint/96476/1/96476.pdf |
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