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Magnus Hedemark
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Structured protocol for running data science research campaigns: - Phase 1-8 workflow from problem formulation through synthesis - Entry/exit criteria and failure modes for every phase - Executable code examples: sklearn pipelines, PyTorch training loops, Optuna HP search, distillation, pruning - See Also references to all companion documents Part of #22