Rule-Based Customer Segmentation — Gezinomi

A rule-based classification study that segments customers using hand-written rules — a simple form of machine learning — to estimate potential customer revenue. Features such as SaleCityName, ConceptName and Seasons are grouped into categories.

A Kaggle notebook accompanies the project.