Reducing-Review-Overhead-with-ML-based-Application-Screening
PublicA machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
Creat：2024-10-11T13:26:10
Update：2024-12-19T14:01:29
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