End-to-End ML Pipeline

Summary

A full pipeline from raw data to a monitored, deployed model — the project that proves you can own an ML system, not just a single training script.

• 1Build data ingestion, training, evaluation, deployment and monitoring as connected stages.
• 2Automate at least the training-to-deployment handoff, not just individual steps.
• 3Document the pipeline architecture so someone else could operate it.