paultongyoo/churn-model-evaluation-platform
End-to-end platform for training, deploying, and monitoring a churn prediction model—built using MLOps best practices and tools applied from the DataTalksClub MLOps Zoomcamp. Project earned the highest-tier score (achieved by 11 out of 200+ cohort participants) in peer-reviewed project assessment.
This platform helps companies proactively retain valuable customers by continuously assessing the likelihood of customers leaving. It takes in customer behavior and demographic data and outputs predictions about which customers are at risk, along with reports on model accuracy. This is ideal for Data Scientists, Machine Learning Engineers, and their stakeholders who need to manage and monitor customer churn models.
No commits in the last 6 months.
Use this if you need a robust system to train, deploy, and continuously monitor customer churn prediction models to ensure they remain accurate over time.
Not ideal if you're looking for a simple, one-off churn analysis or if your primary goal isn't to operationalize and maintain a model in production.
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Last pushed
Sep 05, 2025
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