https://github.com/mujadded/linear-regression-single-variable
This is a implementation of linear regressio with single variable with tensorflow
https://github.com/mujadded/linear-regression-single-variable
Last synced: 10 months ago
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This is a implementation of linear regressio with single variable with tensorflow
- Host: GitHub
- URL: https://github.com/mujadded/linear-regression-single-variable
- Owner: Mujadded
- Created: 2018-05-04T10:14:01.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-05-04T10:20:48.000Z (about 8 years ago)
- Last Synced: 2025-01-14T06:15:47.853Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 1.19 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Single Variable linear regression with Tesnsorflow
This is a linear regression implementation using tensorflow
## Installation
Install: Tensorflow 1.2.1 version
## Purpose
This is fully for research and learning purpose , feel free to add or experiment and let me know if there is any issue
## Contributing
1. Fork it!
2. Create your feature branch: `git checkout -b my-new-feature`
3. Commit your changes: `git commit -am 'Add some feature'`
4. Push to the branch: `git push origin my-new-feature`
5. Submit a pull request :D
## License
MIT