scikit-learn

SKILL.md

This skill provides comprehensive guidance for machine learning tasks using scikit-learn, the industry-standard Python library for classical machine learning. Use this skill for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building production-ready ML pipelines.

See: references/supervisedlearning.md for detailed algorithm documentation, parameters, and usage examples.

Discover patterns in unlabeled data through clustering and dimensionality reduction.

使用 scikit-learn 使用 Python 進行機器學習。在處理監督學習（分類、迴歸）、無監督學習（聚類、降維）、模型評估、超參數調整、預處理或建構 ML 管道時使用。提供有關演算法、預處理技術、管道和最佳實踐的全面參考文件。 來源：jackspace/claudeskillz。

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