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Data & Analytics · scikit-learn · By jaechang-hits
4 skills found.
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. | jaechang-hits/ | 374 | 1 repo | ~4k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
| 2 | Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data. | jaechang-hits/ | 374 | 1 repo | ~6.9k | Automated safety check: Pass | GPL-3.0 | 12 days ago |
| 3 | Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests. | jaechang-hits/ | 374 | 1 repo | ~4.2k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
| 4 | UMAP dimensionality reduction for visualization, clustering prep, and feature engineering. | jaechang-hits/ | 374 | — | ~4.7k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
