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GitHub / ZhenyuWangg / Mall-Customers-Segmentation--Classification-using-Machine-Learning-

Utilized Python-based unsupervised machine learning algorithms, including K-Means and DBSCAN, to effectively segment the mall customer market.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZhenyuWangg%2FMall-Customers-Segmentation--Classification-using-Machine-Learning-
PURL: pkg:github/ZhenyuWangg/Mall-Customers-Segmentation--Classification-using-Machine-Learning-

Stars: 0
Forks: 0
Open issues: 0

License: None
Language:
Size: 780 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: dbscan-clustering, elbow-method, kmeans-clustering-algorithm, knn-classification, python, silhouette-analysis, statistical-analysis, unsupervised-machine-learning

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