https://github.com/vignesh010101/customer-categorization-based-on-purchase-history

Implementation of K-means clustering algorithm to group customers of a retail store based on their purchase history.
https://github.com/vignesh010101/customer-categorization-based-on-purchase-history

Last synced: 3 days ago
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Implementation of K-means clustering algorithm to group customers of a retail store based on their purchase history.

• Host: GitHub
• URL: https://github.com/vignesh010101/customer-categorization-based-on-purchase-history
• Owner: Vignesh010101
• License: mit
• Created: 2024-04-04T18:46:08.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-24T16:17:52.000Z (7 months ago)
• Last Synced: 2024-11-06T12:18:25.617Z (about 2 months ago)
• Language: Python
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Customer Categorization Based on Purchase History

This Repo consists of a Python code for the Implementation of K-means clustering algorithm to group customers of a retail store based on their purchase history.

The dataset is divided into the final number of clusters obtained from the model result

The Plot For Elbow Method:

![Plot 1](https://github.com/Vignesh010101/PRODIGY_ML_TASK2/assets/68474341/fff081ae-5953-47af-a161-4c506c1b19f3)

Clusters Visually Represented:

![Plot 2](https://github.com/Vignesh010101/PRODIGY_ML_TASK2/assets/68474341/54f64189-effd-4603-8cfe-98aa69b9ec97)