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In a scenario where you need to collaborate with other team members on a machine learning project, explain how you would use MLflow Projects to manage and share your code, and discuss the benefits of using MLflow Projects for collaboration.
A
Use MLflow Projects to create a project directory with a consistent structure, and share the project with team members using a version control system.
B
Manually share the code files with team members through email or file-sharing platforms.
C
Use the MLflow UI to create a shared project and invite team members to collaborate on the project.
D
Use the MLflow Client API to programmatically share the code with team members and manage the collaboration process.
