En este ejercicio se desarrolla una segmentación de clientes de un banco ficticio usando la técnica de K-Means, basandose en los parémtros RFM (Recency, Frequency y Monetary Value). Adicionalmente, se crea un modelo de clasificación para detectar operaciones de Fraude, usando el algoritmo Random Forest.
EN: In this exercise, a segmentation of customers of a fictitious bank is developed using the K-Means technique, based on the RFM (Recency, Frequency and Monetary Value) parameters. A classification model is also developed to detect Fraud operations, using the Random Forest algorithm.