How to Install ML Workspace on Linux Mint Latest

ML Workspace is an open-source web-based IDE designed for machine learning and data science. It provides an integrated environment that allows users to collaborate and share experiments, datasets, and models efficiently. In this tutorial, we will show you how to install ML Workspace on Linux Mint Latest.

Prerequisites

Before proceeding with the installation, ensure that your system meets the following requirements:

• Linux Mint Latest installed on your system
• Docker installed and running on your system
• A user with sudo access
• Internet connectivity

Step 1: Install ML Workspace

To install ML Workspace, you need to clone the GitHub repository to your local system. Follow the steps below to do this:

1. Open the terminal on your system by pressing Ctrl+Alt+T or through the Applications menu

2. Clone the ML Workspace repository by running the command below:

   git clone https://github.com/ml-tooling/ml-workspace.git
   

3. Navigate to the cloned directory using the command below:

   cd ml-workspace
   

4. Run the command below to build the ML Workspace Docker image:

   docker-compose build
   

   The Docker image may take a while to build, depending on the speed of your system and the internet connection.

5. Once the image builds, start the ML Workspace container by running the command below:

   docker-compose up -d
   

   This command starts the container (-d) in the background.

   Note: You can stop the container by running the command below:

   docker-compose down
   

   To restart the container, run the command below:

   docker-compose up -d
   

   For more Docker commands, check the official Docker documentation.

6. Open your web browser, and navigate to http://localhost:8080. You should see the ML Workspace login page. If you do not, ensure that the container is running and there are no errors in the terminal.

   In the login page, enter the username mluser and password mluser. You can change the default login details by editing the docker-compose.yml file.

7. Click on the "Login" button, and you should now see the ML Workspace dashboard.

Congratulations! You have successfully installed ML Workspace on your Linux Mint Latest system.

Conclusion

In this tutorial, you learned how to install ML Workspace on Linux Mint Latest. You can now start using ML Workspace to build, train, and deploy machine learning models. To learn more about ML Workspace, check out the official GitHub repository.

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