What is feature engineering and how does it vary across different domains?

What is feature engineering and how does it vary across different domains?

Feature engineering is the process of using domain knowledge to select, modify, or create features that help improve model performance. It varies across domains because different fields have unique data characteristics and requirements.

Can you give examples of feature engineering in healthcare?

In healthcare, feature engineering might involve creating features from patient demographics, medical history, or lab results to predict outcomes like disease progression.

What about in finance?

In finance, feature engineering could include creating features from transaction data, market indicators, or customer behavior to predict stock prices or credit risk.

Are there any common techniques used in feature engineering?

Yes, common techniques include normalization, encoding categorical variables, handling missing values, and creating interaction features.