/Clustering-bank-customers

Unsupervised learning model to perform Customer segmentation based on their age or their location

Primary LanguageJupyter Notebook

Bank Customers Segmentation

Description

Perform Customer segmentation based on their age or their location Using the four types of clustering: Centroid-based clustering (K-means), Density-based clustering, Distribution-based clustering, and Hirerichal clustering.

Used a Dataset from Kaggle: Bank Customer Segmentation (1M+ Transactions)

ScreenShots:

Centroid-based Clusters (Based on Age):

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Distribution-based Clusters (Based on Age):

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Hierarchical clustering Clusters (Based on Age):

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Density-based Clusters (Based on Age):

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