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Applied Sciences | Free Full-Text | Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping
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An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry [PeerJ]
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GitHub - KanduriR/Kaggle-Telco-Customer-Churn: This repo is for understanding factors effecting customer churn for a telecomm business. It dives into understanding customer traits and preferences, services to predict likelihood of a customer churning
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A review and analysis of churn prediction methods for customer retention in telecom industries | Semantic Scholar
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