GokuMohandas/Made-With-ML — reverse-engineered prompt

Build me a polished hands on machine learning learning project where someone can start in a notebook, understand the basic ideas, train a model, test it, serve it, and see how it could be improved over time.

I want it to feel like a real course repo, not just random scripts. Include a friendly docs site, a clear README, sample datasets, notebooks for interactive learning, reusable Python code, tests, and deployment examples. The focus should be on teaching how to design, develop, deploy, and iterate on reliable ML applications using practical MLOps ideas like tracking, data quality, testing, serving, orchestration, and CI.

Make it runnable on a normal laptop, but structure it so the same workflow can scale to a cluster later. Keep the explanations beginner friendly for developers, data scientists, students, and product people who want to understand how production ML actually works. Look up current docs online if you need to.