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This tutorial teaches ML analytics with a series of hands-on labs (HOLs) using the Data Science service in Oracle Cloud Infrastructure.
You'll learn how to get data from some public data sources, then how to analyze this data using some of the latest ML techniques. In the process you'll build ML models and test them out in a predictor app.
There is some infrastructure that must be deployed before you can enjoy this tutorial. See the Terraform documentation for more information.
After the OCI infrastructure is deployed, proceed with the beginner's tutorial to start through the ML labs.
You must have an OCI account. Click here to create a new cloud account.
This solution is designed to work with several OCI services, allowing you to quickly be up-and-running:
There are required OCI resources (see the Terraform documentation for more information) that are needed for this tutorial.
None at this time.
This project is open source. Please submit your contributions by forking this repository and submitting a pull request! Oracle appreciates any contributions that are made by the open source community.
Copyright (c) 2021 Oracle and/or its affiliates.
Licensed under the Universal Permissive License (UPL), Version 1.0.
See LICENSE for more details.