Which component is NOT a part of the role-based access control at the project level?

In the context of role-based access control at the project level, API Access is not considered a core component. Role-based access control primarily focuses on managing permissions for users within a project to ensure they have the appropriate level of access to various project components necessary for their roles.

Datasets, ML Skills, and ML Logs are integral to the operational aspects of machine learning projects. Datasets are the foundational data used for training algorithms, ML Skills refer to the trained models that can be utilized for predictions, and ML Logs are crucial for tracking the performance and behavior of machine learning models over time. Each of these components relates directly to how a team collaborates and functions within the project, making them essential for role-based access control.

In contrast, while API Access is important for integrating external systems or allowing users to interact programmatically with resources, it does not directly pertain to the core structure of role-based access at the project level concerning user permissions and data management. Therefore, it stands apart as the correct choice for the component that is NOT part of this specific framework.