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What is feature engineering in machine learning?

Coding Now Expert • Jun 13, 2026 • 41 views

Feature engineering is the process of using domain knowledge to create, transform, or select input variables (features) that help ML models perform better.

Techniques include:
- **Encoding** categorical variables (Label, One-Hot)
- **Scaling** numerical features (MinMax, StandardScaler)
- **Creating new features** from existing ones (age from DOB)
- **Binning** continuous values into categories
- **Polynomial features** for non-linear relationships

Good features often matter more than the choice of algorithm.

Data Science Machine Learning