Scikit-learn Machine Learning

关于

This skill provides specialized guidance for executing classical machine learning tasks within Claude Code using the scikit-learn library. It enables users to build robust models for classification, regression, and clustering while adhering to industry best practices such as cross-validation and pipeline-based workflows. Whether you are performing exploratory data analysis, tuning hyperparameters, or constructing production-ready transformation pipelines, this skill provides the necessary patterns and reference documentation to ensure scientific rigor and code quality.

主要功能

• Production-ready ML pipeline and ColumnTransformer construction
• Advanced data preprocessing and feature engineering tools
• Hyperparameter optimization via grid and random search
• Robust model evaluation with cross-validation and metrics
• 324 GitHub stars
• Comprehensive supervised and unsupervised learning algorithms

使用场景

• Automating data cleaning and transformation workflows
• Performing customer segmentation and dimensionality reduction
• Building predictive models for structured tabular datasets