Ml Adoption Playbook
affaan-m/ECC/pi/core/skills/ml-adoption-playbookby affaan-mef648e01899ba3e8dc6371642deaaf64b4477775No license275K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 4 days ago
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.
- ef648e01899ba3e8dc6371642deaaf64b4477775Currentcommit ef648e0Published Oct 9, 2026
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Source:affaan-m/ECCinpi/core/skills/ml-adoption-playbookat commitef648e0
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