https://github.com/ansh2709/customer-segmentation-ml-project
Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning
https://github.com/ansh2709/customer-segmentation-ml-project
clustering-algorithm k-means-clustering machine-learning matplotlib-pyplot numpy pandas python unsupervised-machine-learning wcss
Last synced: 8 months ago
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Project segregates the customers on the basis of their spending score and annual income using K-Means Clustering that is a part of unsupervised learning
- Host: GitHub
- URL: https://github.com/ansh2709/customer-segmentation-ml-project
- Owner: Ansh2709
- Created: 2025-01-15T21:18:39.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-16T19:51:26.000Z (9 months ago)
- Last Synced: 2025-02-16T20:29:47.863Z (9 months ago)
- Topics: clustering-algorithm, k-means-clustering, machine-learning, matplotlib-pyplot, numpy, pandas, python, unsupervised-machine-learning, wcss
- Language: Jupyter Notebook
- Homepage:
- Size: 44.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Used K-Means clustering algorithm under unsupervised learning
Used Elbow method to predict how many clusters would be best fit for the model
Used WCSS to get the right prediction score
Used Kaggle dataset for the same Check it once