1. Using Oracle Machine Learning on Autonomous Database
  2. Get Started with Notebooks for Data Analysis and Data Visualization

3 Get Started with Notebooks for Data Analysis and Data Visualization

Oracle Machine Learning Notebooks is based on Apache Zeppelin technology. You can write code, text, create visualizations, and perform data analytics including machine learning. Notebooks work with interpreters in the back-end. In Oracle Machine Learning, notebooks are available in a project, where you can create, edit, delete, and even save notebooks as templates.

  • About OML4Py
    Oracle Machine Learning for Python (OML4Py) is a component of Oracle Autonomous Database, which includes Oracle Autonomous Data Warehouse (ADW), Oracle Autonomous Transaction Processing (ATP), and Oracle Autonomous JSON Database (AJD). By using Oracle Machine Learning Notebooks, you can run Python functions on data for data exploration and preparation while leveraging Oracle Database as a high-performance computing environment. Oracle Machine Learning Notebooks is available through Autonomous Data Warehouse (ADW) , Autonomous Transaction Processing (ATP) and Autonomous JSON Database (AJD) services.
  • About Notebooks
    The Notebooks page lists all the notebooks associated with the selected project. You can create, edit, and run your notebooks here.
  • Use the Scratchpad
    The Scratchpad provides you convenient one-click access to a notebook for running SQL statements, PL/SQL scripts, and Python scripts that can be renamed. The Scratchpad is available on the Oracle Machine Learning Notebooks home page.
  • About Interpreter Bindings and Notebooks
    An interpreter is a plug-in that allows you to use a specific data processing language backend.
  • Collaborate in Oracle Machine Learning
    Two or more users can collaborate and share Oracle Machine Learning notebooks with other users.