GitHub / JessicaaaJe / User-Behavior-Analysis-Using-Clustering
Exploring customer loyalty and behavior using clustering techniques on a churn-risk dataset,with insights into demographics, engagement, churn risk, and promotional strategy effectiveness
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PURL: pkg:github/JessicaaaJe/User-Behavior-Analysis-Using-Clustering
Stars: 1
Forks: 0
Open issues: 0
License: bsd-2-clause
Language: Jupyter Notebook
Size: 956 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: dbscan-clustering, hierarchical-clustering, kmeans-clustering