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machine-learningdata-ai

scikit-learn

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

K-Dense-AI
maintainer
K-Dense-AI
更新於 3/3/2026
星標
18069
分支
1997
quick start

Installation and usage

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

安裝
$ install --globalskills.sh
使用

安裝後,您可以通過在終端運行以下命令來使用此技能:

skills use scikit-learn