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End-to-end machine learning workflow: Machine Learning course | Zoonk

63. End-to-end machine learning workflow

Carry a real problem from stakeholder request through data collection, baseline construction, model training, error analysis, deployment, monitoring, and follow-up. Produce a versioned repository, model documentation, service interface, and operational handoff.

Machine Learning

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