Importing the workshop files into the Jupyter environment

The Jupyter environment is a web-based environment, but everything you do inside it happens on Red Hat OpenShift AI and is powered by the OpenShift cluster. This means that, without having to install and maintain anything on your own computer, and without disposing of valuable local resources such as CPU, GPU and RAM, you can conduct your Data Science work in this powerful and stable managed environment.

Prerequisites

You created a workbench, as described in Creating a workbench and selecting a Notebook image.

Procedure

  1. Click the Open link next to your workbench. If prompted, log in and allow the Notebook to authorize your user.

    Open workbench

    Your Jupyter environment window opens.

    This file-browser window shows the files and folders that are saved inside your own personal space in OpenShift AI.

  2. Bring the content of this workshop inside your Jupyter environment:

    1. On the toolbar, click the Git Clone icon:

      Git Clone icon

    2. Enter the following workshop Git https URL:

      https://github.com/rh-aiservices-bu/fraud-detection.git
      Git Modal

    3. Check the Include submodules option.

    4. Check the Include submodules option, and then click Clone.

    5. In the file browser, double-click the newly-created fraud-detection folder.

      Jupyter file browser

    6. In the left navigation bar, click the Git icon and then, in the Filter field, enter main.

      Git Clone icon

    7. Select origin/main.

      The current branch changes to main.

Verification

In the file browser, you should see the notebooks that you cloned from Git.

Jupyter file browser - fraud-detection
Next step

Running code in a notebook

or

Training a model