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Predicting Telecom Churn: A Machine Learning Approach to Retain Customers | by ACHEAMPONG HOLY FRANCIS | May, 2023 | Medium
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Applied Sciences | Free Full-Text | Resolving Data Sparsity via Aggregating Graph-Based User–App–Location Association for Location Recommendations
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A review and analysis of churn prediction methods for customer retention in telecom industries | Semantic Scholar
![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 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](https://user-images.githubusercontent.com/7806480/71709041-22d38800-2e49-11ea-99f7-40bbae16a348.png)
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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Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies - ScienceDirect
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A sample figure taken from the telecom Italia dataset [8] which divides... | Download Scientific Diagram
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A multi-source dataset of urban life in the city of Milan and the Province of Trentino | Scientific Data
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PDF) A Survey on Customer Churn Prediction in Telecom Industry: Datasets, Methods and Metrics | IRJET Journal - Academia.edu
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