Containerization with Docker
Containerizing an ML model
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Generate an optimized Dockerfile to deploy my Python model [FRAMEWORK: sklearn/torch/tensorflow] with its dependencies [REQUIREMENTS_FILE]. Include best practices: lightweight base image, layer caching, non-root user, environment variables, and a docker-compose.yml for local development.
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