Managing Projects

Learn how to work with your Data Science projects.

From the Projects page, you can:

  • Select a project to view all of its details and work with it. Any notebook sessions and models are listed. You can work with them and create new resources for the project.

  • Use the Actions icon (three dots) to view details, edit, move the project resource, or delete the project.

  • Use the List Scope filter to view projects in another compartment.

  • Filter projects by status using the Project State drop-down list. The default is to view all status types.

  • When there are tags applied to projects, you can further filter projects by clicking add or clear next to Tag Filters.

Creating Projects

You create a Data Science project to describe the business question you are trying to answer and organize your notebook sessions and models within your project.

  1. Log into your tenancy with suitable policies.
  2. Open the navigation menu.
  3. Under Data and AI, click Data Sciences, and then click Projects.
  4. Click Create Project.
  5. Select the compartment to which you want to add the project.
  6. (Optional, but recommended) Enter a unique name (255 character limit) for the project. If you don't provide a name, a name is automatically generated for you. For example, datascienceproject20200108222435.
  7. (Optional, but recommended) Enter a description (400 character limit) for the project. If you don't add a description, it remains empty.
  8. (Optional) Add tags to easily locate and track to the project by selecting a tag namespace, then entering the key and value. To add more than one tag, click +Additional Tags.
  9. (Optional) To view the details for your project immediately after creation, select Display project details after creation.

After you successfully create a project, you can create notebook sessions and models and associate them with the project. You and your collaborators can then organize and document your data science work within the projects.

Viewing Project Details

You can either click the project's name or the Actions icon (three dots), and click View Details to display the project's details.

Editing Projects

You can either click the project's name or the Actions icon (three dots), then click Edit. You can change the name and description of the project then save your changes.

Applying Tags to Projects

You can either click the project's name or the Actions icon (three dots), and click Add Tags. You can apply both defined and free form tags to projects using Working with Resource Tags.

Moving Project Resources

You can move a project resource from its current compartment to a different one. Moving a project does not move any of its notebook sessions or models to the new compartment.

For example, you may want to move a project to promote it from a development compartment to production compartment, or you could change the visibility of the project.

You can either click the project's name or the Actions icon (three dots), and click Move Resource. Select the destination compartment and click Move Resource.

Deleting Projects

To delete a project, it cannot be associated with any Data Science resources. Before you can start to delete a project, you must first deactivate the notebook session and models associated with the project.

You can either click the project's name or the Actions icon (three dots), and click Delete to delete a project.

The state of the project becomes "deleting" during the delete project operation. The service checks for the absence of associated resources. If successful, the project status is updated to deleted.

The delete project action is asynchronous and initiates a work request. You can use the work request to track the status of an operation. For general information about using work requests in Oracle Cloud Infrastructure, see Work Requests and the Work Requests API.