https://github.com/sharmas1ddharth/customer_segmentation

Customer Segmentation using different algorithms
https://github.com/sharmas1ddharth/customer_segmentation

customer-segmentation machine-learning machine-learning-algorithms python unsupervised-learning

Last synced: 8 months ago
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Customer Segmentation using different algorithms

• Host: GitHub
• URL: https://github.com/sharmas1ddharth/customer_segmentation
• Owner: sharmas1ddharth
• License: mit
• Created: 2022-09-26T06:18:56.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-26T07:36:08.000Z (about 3 years ago)
• Last Synced: 2025-01-11T12:48:04.123Z (9 months ago)
• Topics: customer-segmentation, machine-learning, machine-learning-algorithms, python, unsupervised-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 1.62 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Customer Segmentation

### Usage

1. Dataset path: `/data/`

2. Run the code given in ipython notebook `customer_segmentation.ipynb`

This repo describe several techniques for clustering, visualizing and interpreting clustering algorithms and output. I explored k-Means as clustering algorithm,  PCA for dimensionality reduction, and applied a variance technique and feature importance to select variables that uniquely represent clusters.

### Result

![cluster_analysis](https://github.com/sharmas1ddharth/customer_segmentation/blob/main/plots/cluster_analysis.png)

![cluster_gender](https://github.com/sharmas1ddharth/customer_segmentation/blob/main/plots/cluster_gender.png)

### That is all, I hope you enjoy

My other projects can be found at my [GitHub](https://github.com/sharmas1ddharth)

I also write about them on [Medium](https://medium.com/@ssiddharth408).