Engineering ML Features

Use this skill for creating, transforming, and selecting features that improve model performance. Covers categorical encoding, numeric scaling, datetime engineering, text features, and building leakage-safe pipelines.

When to use this skill

• Categorical variables need encoding for ML algorithms
• Numeric features require scaling or transformation
• Datetime columns need conversion to meaningful features
• Text data needs to be converted to numerical representations
• Preventing data leakage during feature engineering
• Selecting the most predictive features from a large set
• Building reusable, production-ready preprocessing pipelines

When NOT to use this skill