How to add a Machine Learning Project to GitHub

This tutorial is mainly focussed on beginners who are new to GitHub and like create a portfolio of projects. Maintaining a GitHub data science portfolio is very essential for data science professionals and students in their career. This will essentially showcase their skills and projects.

This tutorial is mainly focussed on data science beginners who are new to GitHub.

Maintaining a GitHub data science portfolio is very essential for data science professionals and students in their career. This will essentially showcase their skills and projects.

What is GitHub?

GitHub is a code sharing and publishing service. At the heart of GitHub is Git, an open-source project started by Linux Creator Linus Torvald. Git, like other version control systems, manages and stores revisions of projects.

If you are curious to know about how Git and GitHub works you can always google them to find more.

Steps to add an existing Machine Learning Project in GitHub

• Let’s start by installing Git on our system. To do this we will use the git command-line interface which can be downloaded from here. Follow the instructions according to Windows or Mac for the installation process. Note: There are different ways to add a project, we will be using the traditional git-bash command-line interface for this article.

• If you are already having a GitHub **account login to it or create a GitHub account [here**](https://github.com/). Then we can create a repository for our project. It’s always a good practice to initialize the project with a README file.

  

Type in a new repository name for your project

• Go to the Git folder located in C:\Program Files\Git and open the *git-bash *terminal.

  

machine-learning git data-science github version-control

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