https://github.com/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.
https://github.com/easonlai/customer_segmentation_with_rfm_k-means
customer-segmentation k-means k-means-clustering k-means-implementation-in-python python python3 retail rfm rfm-analysis
Last synced: 4 months ago
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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.
- Host: GitHub
- URL: https://github.com/easonlai/customer_segmentation_with_rfm_k-means
- Owner: easonlai
- Created: 2022-03-17T08:32:23.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-17T08:45:39.000Z (over 3 years ago)
- Last Synced: 2025-01-08T12:14:08.695Z (5 months ago)
- Topics: customer-segmentation, k-means, k-means-clustering, k-means-implementation-in-python, python, python3, retail, rfm, rfm-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 30.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md