Feature Engineering

Use this skill for creating, transforming, and selecting features that improve model performance.

When to use this skill

• After EDA — convert insights into features
• Model underperforming — need better representations
• Handling different data types (numerical, categorical, text, datetime)
• Reducing dimensionality or selecting most predictive features

Feature engineering workflow

1. Numerical features
   • Scaling (StandardScaler, MinMaxScaler, RobustScaler)
   • Transformations (log, sqrt, Box-Cox for skewness)
   • Binning (equal-width, quantile, custom)
   • Interaction features