Telecom-Churn-Predictor and telecom-customer-churn-prediction
These are competitors, as both tools predict customer churn in the telecom industry using machine learning, addressing the same problem independently.
About Telecom-Churn-Predictor
gattsu001/Telecom-Churn-Predictor
Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.
About telecom-customer-churn-prediction
virajbhutada/telecom-customer-churn-prediction
Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.
This project helps telecom companies predict which customers are likely to switch to another provider. It takes customer usage patterns, behavior, and other service-related data as input and provides a list of at-risk customers along with insights into why they might leave. This is ideal for customer retention managers, marketing strategists, and business analysts in the telecom sector.
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