AI engineering glossary · Feature engineering data prep
What is aggregation feature?
Aggregation feature: A feature computed by summarising many rows that belong to one entity, such as a customer's total spend, average order value or number of transactions in 30 days. Aggregations turn event-level logs into per-entity features.
Aggregation feature: an example
From a UPI transaction log, you compute each user's transaction count and average amount over the last 30 days.
Related terms
More Feature engineering data prep terms
- ANOVA F-test
- Automated feature engineering
- Backward elimination
- Bag of words
- Binary encoding
- Boruta
- Box-Cox transform
- Categorical variable
Where you learn it
Aggregation feature is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.