What is one of the main purposes of creating a workspace in Oracle Machine Learning?

Creating a workspace in Oracle Machine Learning is primarily aimed at organizing and managing data science projects. This environment allows data scientists and analysts to store, access, and analyze data comprehensively while streamlining their workflows. By having a dedicated workspace, users can effectively collaborate, maintain project organization, and document their findings and methodologies, which is essential for managing complex projects that involve multiple datasets and analysis techniques.

This approach fosters better team collaboration, ensures all relevant resources are available in a structured manner, and allows for reproducibility of analyses, all of which are crucial in the data science field.