ml-pipeline

Data-first ML discipline: forces coding agents through a strict 16-step pipeline — inspect and understand the raw data, define the prediction problem, clean, engineer, and split it BEFORE any model training — with explicit user-permission gates, marimo notebooks, and matplotlib visuals at every step.