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Data science and analytics

Tabular ML: cross dataset user aggregation

Build user-level behavioral features (avg listing duration, relisting frequency, total items) by joining auxiliary activity tables that share user_id but not item_id with train/test

Works with the context you provideVersion 1.0.0

Tabular cross dataset user aggregation

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  • **wenmin-wu/tabular-cross-dataset-user-aggregation**: Build user-level behavioral features (avg listing duration, relisting frequency, total items) by joining auxiliary activity tables that share user_id but not item_id with train/test Read `references/wenmin-wu/skills/tabular/cross-dataset-user-aggregation/SKILL.md`.

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