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ML-forecasting/notebooks
Gabriel Pereira 930534dde2 Add privacy-safe demand forecasting case study
Synthetic monthly SKU/region demand notebook comparing a trimmed-mean
baseline against gradient boosting, with a gated TimesFM build-vs-buy
comparison. Includes rolling-origin validation, executive narrative,
architecture diagram, one-page PDF, and LinkedIn draft.

No company data, credentials, or private implementation details.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-09-11 16:37:33 -03:00
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