Feature Engineering

In more detail

Feature engineering includes creating new features, encoding categorical variables, scaling numeric features, and selecting most important features. Often more impactful than model choice. Domain knowledge crucial for effective feature engineering.

Examples

• Creating polynomial features
• One-hot encoding categories
• Feature scaling and normalization
• Feature selection with correlation analysis

Related terms