GitHub / easonlai / customer_segmentation_with_rfm_k-means
This is a code sample repository to leverage the famous Online Retail dataset by UCI Machine Learning Library to perform Customer Segmentation with RFM Modelling and perform clustering by K-Means cluster algorithm.
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PURL: pkg:github/easonlai/customer_segmentation_with_rfm_k-means
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 30.1 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: 5 months ago
Topics: customer-segmentation, k-means, k-means-clustering, k-means-implementation-in-python, python, python3, retail, rfm, rfm-analysis