https://github.com/luckyos-code/user-driven-privacy
Data preparation methods for supporting machine learning on anonymized tabular data with generalized and missing values.
https://github.com/luckyos-code/user-driven-privacy
anonymized-data data-preparation imputation incomplete-data machine-learning privacy tabular-data
Last synced: 4 days ago
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Data preparation methods for supporting machine learning on anonymized tabular data with generalized and missing values.
- Host: GitHub
- URL: https://github.com/luckyos-code/user-driven-privacy
- Owner: luckyos-code
- Created: 2025-01-15T13:28:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-02-03T12:11:41.000Z (4 months ago)
- Last Synced: 2026-02-03T23:34:27.742Z (4 months ago)
- Topics: anonymized-data, data-preparation, imputation, incomplete-data, machine-learning, privacy, tabular-data
- Language: Python
- Homepage: http://arxiv.org/abs/2602.01217
- Size: 58 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0