Univariate Linear regression prediction is an algorithm in machine learning for dealing with univariate continuous data.
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The main idea behind creating this repo was too, implement the linear regression for univariate problem set using neural approach. This project will have two files. Both these files have been used to explore different datasets and perform EDA and than our regression problem on them.
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Person to work on this repo will require basic knowledge of python and machine learning.
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b MLnow_2.0
) - Commit your Changes (
git commit -m 'Add some MLnow_2.0'
) - Push to the Branch (
git push origin MLnow_2.0
) - Open a Pull Request
Hritik Chaturvedi - @your_linkedin - [email protected]
Project Link: https://github.com/hritikchaturvedi11/MLnow_2.0