For the Brazilian E-Commerce platform, the goal of the project was to explore the best client segmentation model possible using unsupervised machine learning. Different clustering methods are compared.
Spoiler : The classic RFM segmentation still works the best !
The data was collected here : Olist client public database. I explore and joined the 8 tables via the creation of an SQL database.
The code is available here :