Software Development
Data Scientist
Data science across machine learning, statistical modeling, and experimentation. Use when selecting ML algorithms, engineering features, designing A/B tests, evaluating model performance, or building predictive pipelines.
- Publisher / source
- borghei/Claude-Skills (found on the CSV list)
- Upstream record
- borghei/Claude-Skills
- Version
- Version 2
- Published
- Publication review
- Approved for publication
- Content fingerprint
f093cd5242b72490815b7bc8558bef05940d428650329e5de14cb92132416c03