CONTRIBUTION GUIDELINES

We are very excited to have you with us!

Project Guidelines

Use the [Title Case Name](link) format.
All Folders and Files should contain - inplace of or _.
Use concise descriptions.
Pull requests should have a useful title.
To add any Machine Learning concept, create a folder in the ML Concepts folder with a relevant category.
Add the concept to be added with detailed explanations.
if there are packages to be installed, create a requirements.txt file stating out the packages to be installed.
Each folder should contain an Introduction.md file.
- The file should contain a brief introduction to folder.
- Notebook's Table ( for reference look at this Introduction.md )
- Any other resource or blog you think is appropriate or explains the meaning of your folder.
Codes can be contributed using jupyter notebooks and .py, .r or .jl files. But jupyter notebooks will be much appreciated because they support a clear explanation of code.

Open your terminal and clone it on your machine:

git clone https://github.com/EdemGold/Nutshell-Machine-Learning.git

Create a new branch with this convention broadtopic/notebooktopic
```
git checkout -b broadtopic/notebooktopic
```
Commit all the changes (use descriptive commit messages)
```
git commit -m "a descriptive commit message"
```
Make a PR on Github; use a descriptive PR title to specify the change(s) made.
Complete the changes and when ready push with this command.(for first time contributors only)
```
git push -u origin broadtopic/notebooktopic
```
Complete your changes and when ready, you can now just use push.
```
git push
```

Any contribution is welcomed such as fixing grammatical errors, fixing broken links, adding resources, etc.
Before contributing, here's our Code of Conduct which must be adhered to.
Verify that any resource(s) to be added isn't already present in the repo, as yours may be a duplicate.