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GitHub / kshitizrohilla / mall-customer-segmentation-using-k-means-clustering-algorithm

This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kshitizrohilla%2Fmall-customer-segmentation-using-k-means-clustering-algorithm

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 328 KB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: 5 months ago
Pushed at: about 2 years ago
Last synced at: 2 months ago

Topics: cluster, clustering, clustering-algorithm, clustering-methods, customer-segmentation, customer-segmentation-analysis, k-means-clustering, k-means-clustering-model, k-means-clustering-segmentation, k-means-clustering-sklearn, mall-customer-segmentation

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