кластеризация клиентов на основе их покупательской способности

Finding Quality of wine using clustering principles

Performed analysis and customer segmentation of banking clients.

This is a small tutorial project that demonstrates application and evaluation methods of popular clustering algorithms namely, K-means, DBSCAN and Agglomerative.

The main objective of this project is to group customers with similar behavior and characteristics into segments to better understand their needs and preferences. The unsupervised machine learning techniques used in this project include K-means clustering ,hierarchical clustering and DBScan Clustering.