Installing ML Workspace on POP! OS Latest

In this tutorial, we will learn how to install ML Workspace on POP! OS Latest.

Prerequisites

A machine running POP! OS Latest
Docker
Git

Steps

Open a terminal and clone the ML Workspace repository by running the following command:
```
git clone https://github.com/ml-tooling/ml-workspace.git
```
Navigate to the cloned directory.
```
cd ml-workspace
```
Run the following command to start the installation process:
```
./install.sh
```
This will start the installation process, and you will be prompted to enter your sudo password to grant the required permissions.
```
[sudo] password for <user>: 
```
The installation process will download and install the required dependencies, including Docker and Docker Compose.
Once the installation process is complete, you can start the ML Workspace by running the following command:
```
docker-compose up
```
Wait for a few minutes until the ML Workspace is fully loaded, and then navigate to http://localhost:8080 in your web browser.
You will be prompted to enter your username and password. The default username and password are mltooling and mltooling, respectively.
Once you have logged in, you should be able to see the ML Workspace dashboard, which looks something like this:

Congratulations! You have successfully installed ML Workspace on POP! OS Latest.

Conclusion

In this tutorial, we learned how to install ML Workspace on POP! OS Latest. ML Workspace is a powerful platform that provides a user-friendly interface for working with machine learning tools and workflows. By following the steps outlined in this tutorial, you can quickly set up and start using ML Workspace on your POP! OS machine.