- Introduction to Deep Learning Assignments
- Basic ML algorithm
- Add More if you want
Upload ML algorithm code in separate files (Ex: Linear Regression, ). Please add comments in the code, so everyone can understand it.
Clone the repository to get a local copy of the code. Run this command in your terminal:
git clone https://github.com/rutuvirani/Machine-Learning.git
Not needed for everyone. It’s a good practice to create a new branch for each feature or fix. Use this command to create and switch to a new branch:
git checkout -b your-branch-name
check the status of your changes to see any files that have been modified or are unstaged:
git status
Stage files that you want to include in the next commit:
git add filename
Or to add all changes at once:
git add .
Commit your staged changes with a descriptive message:
git commit -m "Add meaningful commit message here"
Push your branch to GitHub so others can see your changes or to submit a pull request:
git push origin your-branch-name
Replace your-branch-name with the name of your branch.
git pull origin your-branch-name
- Go to the GitHub repository in your browser.
- Click on the “Pull Requests” tab.
- Select “New Pull Request.”
- Select your branch, add a description, and create the pull request for review.
Here are some more helpful Git commands: https://github.com/rutuvirani/Machine-Learning.git Pulling Changes: To update your local branch with the latest changes from the remote repository:
git pull origin main
Merging Branches: To merge changes from one branch into another:
git merge branch-name
Replace branch-name with the name of the branch you’re merging.
Viewing Commit Logs: To see a list of recent commits:
git log
Checkout the youtube video for more insight https://youtu.be/Ez8F0nW6S-w?si=bY7u_oBUXXy6cEsW