https://github.com/jasonmdev/dq-k-means
This is a Jupyter notebook of the Dataquest tutorial on "k-means-clustering-us-senators".
https://github.com/jasonmdev/dq-k-means
Last synced: 17 days ago
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This is a Jupyter notebook of the Dataquest tutorial on "k-means-clustering-us-senators".
- Host: GitHub
- URL: https://github.com/jasonmdev/dq-k-means
- Owner: JasonMDev
- License: mit
- Created: 2017-06-25T20:14:41.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-06-26T18:56:31.000Z (almost 9 years ago)
- Last Synced: 2025-06-12T12:50:39.726Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 12.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# k-means-clustering-us-senators
## A Dataquest Tutorial
This is a jupyter notebook of the [*Dataquest*](https://www.dataquest.io/) tutorial on "k-means-clustering-us-senators".
I have followed the [*blog*](https://www.dataquest.io/blog/k-means-clustering-us-senators/) on my own computer in order to reinforce my learning from Dataquest.
You can see the Jupyter notebook [here](main.ipynb).