Set up lightweight experiment tracking so every model run is reproducible, comparable, and never lost.
## CONTEXT Without experiment tracking, ML work descends into chaos: the best score came from a run nobody can reproduce, hyperparameters live in scattered notebook cells, and comparing models means squinting at old screenshots. Disciplined tracking logs the code version, data version, parameters, metrics, and…
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