Your ML Repo Starter Kit: src Layout, uv venv, GitHub Push

Let's start building an organized repository for our ML Blueprint Project 😊 This is the initial step in the larger ML Blueprint challenge, where we will professionalize a notebook-only project step-by-step into a testable, modular structure with clear configuration, development, and deployment parts.
Most ML ideas start life in a notebook. Some even grow up there. But if you’ve ever tried to take a promising experiment from your laptop - or even worse, from another developer's laptop - to another environment, you know the pain: missing dependencies, mystery settings, scattered scripts, and plots living in five different folders. Today, we fix that by giving your project a simple, professional backbone you can build on.
By the end of this step, you’ll have:
- a minimal-but-solid repo structure you can reuse,
- a reproducible environment managed with
uv
, - your package importable from scripts/notebooks,
- a first dataset wired in for quick iteration,
- and your initial commit live on GitHub.
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