feature-engineering-kit

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

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "feature-engineering-kit" with this command: npx skills add dkyazzentwatwa/chatgpt-skills/dkyazzentwatwa-chatgpt-skills-feature-engineering-kit

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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

ocr-document-processor

No summary provided by upstream source.

Repository SourceNeeds Review
General

text-summarizer

No summary provided by upstream source.

Repository SourceNeeds Review
General

document-converter-suite

No summary provided by upstream source.

Repository SourceNeeds Review
General

financial-calculator

No summary provided by upstream source.

Repository SourceNeeds Review