D1104294GC10_D1104294GC10_D1104294GC10.pptx
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The document outlines the procedures for creating and managing data science projects within Oracle Cloud Infrastructure, as well as the relevant features such as organizing work, specifying project details, and using project management tools. It discusses the creation and editing of projects, detailing necessary policies, compartment selection, and the use of tags for organization. Additionally, it mentions project visibility, metadata, and the conditions under which projects can be deleted or filtered.
![Create Projects
From the Console
You must have necessary
policies in place.
You must select a compartment.
(optional) Enter unique project
name; otherwise, one is
automatically generated.
(optional) Add tags to easily
locate and track the resource.
From ADS SDK
Use the ProjectCatalog object:
Create a project by calling
the create_project() method.
Specify the compartment ID.
compartment_id = os.environ['NB_SESSION_COMPARTMENT_OCID']
pc = ProjectCatalog(compartment_id=compartment_id)
new_project = pc.create_project(display_name=’My New Project',
description=’My Project Description',
compartment_id=compartment_id)
There are two ways to create a Data Science project to organize your notebook sessions and models.](https://image.slidesharecdn.com/d1104294gc10m2l1projects-240503062547-0d163f05/85/D1104294GC10_D1104294GC10_D1104294GC10-pptx-4-320.jpg)
D1104294GC10_D1104294GC10_D1104294GC10.pptx
- 1. Workspace Design and Setup
- 2. Projects Oracle Cloud Infrastructure Data Science
- 3. What are projects? 2021: Professor, Anthony Klotz, predicts and coins the term “The Great Resignation” of the U.S. workforce. Collaborative workspaces for teams of data scientists Projects give data scientists the power to: • Organize work around use cases • Create Data Science resources • Specify project names and descriptions
- 4. Create Projects From the Console You must have necessary policies in place. You must select a compartment. (optional) Enter unique project name; otherwise, one is automatically generated. (optional) Add tags to easily locate and track the resource. From ADS SDK Use the ProjectCatalog object: Create a project by calling the create_project() method. Specify the compartment ID. compartment_id = os.environ['NB_SESSION_COMPARTMENT_OCID'] pc = ProjectCatalog(compartment_id=compartment_id) new_project = pc.create_project(display_name=’My New Project', description=’My Project Description', compartment_id=compartment_id) There are two ways to create a Data Science project to organize your notebook sessions and models.
- 5. Delete View Edit You can view all projects on the Project List page. View displays project details and metadata: ⏵ Display name ⏵ Description ⏵ OCID ⏵ Created on date/time ⏵ Created by (user OCID) ⏵ Tags You can delete a project if it’s empty and all associated Data Science resources are deleted. Deleted projects remain in the list for 30 days. Use state filter to filter projects. You can view and edit projects through any of the OCI interfaces. The only editable fields are: ⏵ Display Name ⏵ Description ⏵ Tags Viewing, Editing, and Deleting Projects
- 6. Demo