ML Feature Engineering Helper

概要

The Feature Engineering Helper is a specialized Claude Code skill designed to streamline the most critical phase of the machine learning lifecycle: data preparation. It provides automated, step-by-step guidance for complex feature engineering tasks, including normalization, categorical encoding, and feature selection. By generating production-ready code for popular frameworks like Scikit-learn, PyTorch, and TensorFlow, this skill helps developers implement industry best practices and experiment-ready patterns directly within their development environment, ensuring datasets are perfectly optimized for high-performance training.

主な機能

• Validates data preprocessing steps against industry best practices
• Generates production-grade code for data cleaning and transformation
• Automated guidance for feature scaling and normalization strategies
• Implements advanced categorical encoding and feature selection patterns
• Seamless integration with Scikit-learn, PyTorch, and TensorFlow workflows
• 1,063 GitHub stars

ユースケース

• Optimizing feature sets to reduce model noise and improve training speed
• Preparing raw datasets for deep learning and neural network training
• Automating repetitive data preprocessing and feature scaling tasks