You can add your implementation from scratch for the Machine Learning algorithm you have done in R.
- Star this repository using 'Star' button on the top.
- Click on Fork Repository using the 'Fork' button on the top.
- Clone the forked repository on your PC. Using this command on your Git bash or any terminal with git support :
git clone url
- Now create a new branch with this command: git branch branchname and then use that branch by - this command:
git checkout branchname.
- Create your algorithm as a seperate .R file by following the structure Algorithm/Implementation.R
For example Linear Regression/Linear_Regression_Batch_GD.R
- After making changes use this command to add the changes: git add filename, and then
git commit -m "message here".
- After that use this command:
git push origin branchname.
- Create a pull request, and wait for Pull Request to get merged.
You can add your implementation from scratch for the Machine Learning algorithm you have done in R.
git clone urlgit checkout branchname.For example Linear Regression/Linear_Regression_Batch_GD.R
git commit -m "message here".git push origin branchname.