Individual skill
Feature Engineering
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
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# Feature Engineering
## Overview
Feature engineering creates and transforms features to improve model performance, interpretability, and generalization through domain knowledge and mathematical transformations.
## When to Use
- When you need to improve model performance beyond using raw features
- When dealing with categorical variables that need encoding for ML algorithms
- When features have different scales and require normalization
- When creating domain-specific features based on business knowledge
- When handling skewed distributions or non-linear relationships
- When preparing data for different types of ML algorithms with specific requirements