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feature-engineering-kit

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

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Sourcedkyazzentwatwa/chatgpt-skills

Added on2026-02-10

NPX Install

npx skill4agent add dkyazzentwatwa/chatgpt-skills feature-engineering-kit

Tags

Translated version includes tags in frontmatter

feature-engineering ml-pipelines data-preprocessing encoding-scaling python-tools

SKILL.md Content

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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

bash

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