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Projeto visando trazer as principais métricas relacionadas à aquisição de clínicas, realizando uma análise de dados exploratória com essa base, de forma a identificar gargalos e oportunidades para otimizar a entrada de clinicas na Real.
A 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.