End-to-end Machine Learning Operations (MLOps) workflows, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation. Built as part of my MLOps course to demonstrate real-world practices for managing production-grade ML systems.
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End-to-end Machine Learning Operations (MLOps) workflows, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation. Built as part of my MLOps course to demonstrate real-world practices for managing production-grade ML systems.
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Irene-Busah/machine-learning-Ops
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End-to-end Machine Learning Operations (MLOps) workflows, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation. Built as part of my MLOps course to demonstrate real-world practices for managing production-grade ML systems.
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