feature-engineering-kit

Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.

$ インストール

git clone https://github.com/dkyazzentwatwa/chatgpt-skills /tmp/chatgpt-skills && cp -r /tmp/chatgpt-skills/feature-engineering-kit ~/.claude/skills/chatgpt-skills

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: feature-engineering-kit description: Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.

Feature Engineering Kit

Automated feature engineering with encodings, scaling, and transformations.

Features

Encodings: One-hot, label, target encoding
Scaling: Standard, min-max, robust scaling
Polynomial Features: Generate interactions
Binning: Discretize continuous features
Date Features: Extract time-based features
Text Features: TF-IDF, word counts
Missing Value Handling: Imputation strategies

CLI Usage

python feature_engineering.py --data train.csv --output engineered.csv --config config.json

Dependencies

scikit-learn>=1.3.0
pandas>=2.0.0
numpy>=1.24.0