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This application demonstrates deploying machine learning models using FastAPI, Docker, and Kubernetes. It includes background task processing with Celery and Redis, and provides endpoints for making predictions and retrieving results. The application uses the Breast Cancer Wisconsin (Diagnostic) dataset for model training and evaluation
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Merge branch 'main' of https://github.com/Sagor0078/fastapi-mlops-docker-k8s into main
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