How to Install ML Workspace on Kali Linux

In this tutorial, we will guide you on how to install ML Workspace on Kali Linux. ML Workspace is an all-in-one web-based IDE that allows you to easily manage and run machine learning and data science projects.

Prerequisites

Before we proceed with the installation, make sure that you have the following prerequisites:

• Kali Linux installed on your system. You can download it from its official website.
• You have a user account with sudo privileges.

Installation Steps

1. Open the terminal on your Kali Linux system.

2. Install the Docker engine by running the following command:

sudo apt-get install docker.io

3. Once the Docker engine is installed, you can install ML Workspace by running the following command:

sudo docker run -p 8080:8080 mltooling/ml-workspace:latest

4. The above command will download ML Workspace and launch it on your system. Once the installation is complete, you should see a message like this:

∙+---------------------------------------+
| ML Workspace was successfully launched |
+---------------------------------------+

5. Open your web browser and type localhost:8080 or http://<your-system-ip>:8080 in the address bar. This will launch the ML Workspace web interface.

6. You will be asked to create a username and password for your account. Enter the desired credentials and click on the "Create Account" button.

7. Once you have created your account, you will be able to use ML Workspace to manage and run your machine learning projects.

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

Conclusion

In this tutorial, we have shown you how to install ML Workspace on Kali Linux. With ML Workspace, you can easily manage and run your machine learning and data science projects from a web-based IDE.

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