https://github.com/oracle-devrel/redbull-analytics-hol

Learn machine learning the fun way, with Oracle and RedBull Racing
https://github.com/oracle-devrel/redbull-analytics-hol

Last synced: about 3 hours ago
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Learn machine learning the fun way, with Oracle and RedBull Racing

• Host: GitHub
• URL: https://github.com/oracle-devrel/redbull-analytics-hol
• Owner: oracle-devrel
• License: upl-1.0
• Created: 2021-06-09T19:28:54.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2025-01-21T20:04:55.000Z (over 1 year ago)
• Last Synced: 2026-06-24T11:36:12.693Z (about 14 hours ago)
• Language: Jupyter Notebook
• Size: 33.8 MB
• Stars: 94
• Watchers: 7
• Forks: 64
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Security: SECURITY.md

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README

          
# Red Bull Racing Analytics Hands-On Labs

[![License: UPL](https://img.shields.io/badge/license-UPL-green)](https://img.shields.io/badge/license-UPL-green) [![Quality gate](https://sonarcloud.io/api/project_badges/quality_gate?project=oracle-devrel_redbull-analytics-hol)](https://sonarcloud.io/dashboard?id=oracle-devrel_redbull-analytics-hol)

## Introduction

Are you interested in learning machine learning (ML)?  How about doing this in the context of the exciting world of F1 racing?!  Get your ML skills bootstrapped here with Oracle and Red Bull Racing!

![Red Bull F1 Race Car](./docs/SI202105091303_hires_jpeg_24bit_rgb.jpg)

This tutorial teaches ML analytics with a series of hands-on labs (HOLs) using the [Data Science](https://docs.oracle.com/en-us/iaas/data-science/using/data-science.htm) service in [Oracle Cloud Infrastructure](https://cloud.oracle.com/).

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.

## Getting Started

There is some infrastructure that must be deployed before you can enjoy this tutorial.  See the [Terraform documentation](./terraform/README.md) for more information.

After the OCI infrastructure is deployed, proceed with the [beginner's tutorial](./beginners/README.md) to start through the ML labs.

### Prerequisites

You must have an OCI account.  [Click here](https://www.oracle.com/cloud/free/?source=:ow:o:s:nav::DevoGetStarted&intcmp=:ow:o:s:nav::DevoGetStarted) to create a new cloud account.

This solution is designed to work with several OCI services, allowing you to quickly be up-and-running:

* [Data Science](https://docs.oracle.com/en-us/iaas/data-science/using/data-science.htm)

* [Resource Manager](https://docs.oracle.com/en-us/iaas/Content/ResourceManager/Concepts/landing.htm)

There are required OCI resources (see the [Terraform documentation](./terraform/README.md) for more information) that are needed for this tutorial.

## Notes/Issues

None at this time.

## URLs

* [Oracle and Red Bull partnership announcement](https://www.oracle.com/news/announcement/oracle-cloud-red-bull-racing-honda-032521.html)

## Contributing

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.

## License

Copyright (c) 2024 Oracle and/or its affiliates.

Licensed under the Universal Permissive License (UPL), Version 1.0.

See [LICENSE](LICENSE.txt) for more details.