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scikit-learn agent skills, page 2
scikit-learn skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Route text-labeling requests across LDA topic modeling, sklearn baselines, pretrained transformer models, and OpenAI-compatible LLM labeling. | Drchronx/ | 134 | — | ~1.1k | Automated safety check: Pass | Unknown | 4 mo ago |
| 50 | 50.Umap Learn UMAP dimensionality reduction for visualization, clustering prep, and feature engineering. | jaechang-hits/ | 370 | — | ~4.7k | Automated safety check: Pass | BSD-3-Clause | 8 days ago |
| 51 | Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. | Kilo-Org/ | 189 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | 8 days ago |
| 52 | Scikit-learn expert: Pipeline, feature engineering, hyperparameter tuning, model selection, ensemble methods, time series preprocessing. | theneoai/ | 183 | — | ~3.9k | Automated safety check: Pass | MIT | 4 mo ago |
| 53 | Guide for applied machine learning with scikit-learn covering feature engineering, model selection, pipeline construction, evaluation, hyperparameter tuning, and production-ready model patterns. | FerroxLabs/ | 608 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |