feature-engineering - Engineer features for machine learning models
Create, transform, and select features through encoding, scaling, dimensionality reduction, and automated feature generation.
Tags
Updated: 2026-09-29Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Create derived features
- Encode categorical variables
- Scale numerical features
- Transform skewed distributions
- Generate interaction features
- Extract date and text features
- Select informative features
- Reduce feature dimensionality
Inputs
- Raw datasets
- Target labels
- Feature metadata
- Reference dates
Outputs
- Engineered feature datasets
- Selected feature sets
- Reduced feature representations
- Feature importance rankings
- Transformation code
Requirements
- Python environment
- pandas
- NumPy
- scikit-learn
- SciPy