Hands-On Lab: Introduction to Oracle Machine Learning for Python on Autonomous Database

Join us for this Introductory Oracle Machine Learning workshop focusing on the Python API - OML4Py. If you're interested in machine learning and Python in the Oracle environment, join us for this hands-on lab to experience the OML Notebooks interface and prepare data and build machine learning models in the database.

You will learn to provision your Autonomous Database and create OML users, load sample data from Github, manipulate database tables as Pandas DataFrame proxy objects, build powerful machine learning models, and use AutoML through the Python API and no-code OML AutoML UI.

After participating in this workshop, you will be able to:
- Select and manipulate Database data directly from Python using Pandas DataFrame proxy objects
- Train, test, and score using in-database machine learning models
- Store and manage Python objects and user-defined functions in the database
- Run and deploy those user-defined Python functions using Embedded Python Execution
- Use AutoML from the Python API and the no-code AutoML UI to create ML models in an automated fashion

[ShowmanSharma]

Hi team. I am getting this error when trying to create an autonomous database instance:

Not enough Storage available in the Autonomous Exadata VM Cluster.