rfm

Feature engineering for recency, frequency, and monetary behavior

Tabular models improve fast when you encode behavior rather than raw events. Recency, frequency, and monetary aggregates are durable baseline features for retention, fraud, and conversion use cases. I usually build them in pure pandas first, then port