Machine learning workflow is an iterative process, and machine learning’s complete lifecycle involves a lot of experimentation. If this process is not implemented systematically, months of work can be lost, making it significantly hard to collaborate between data scientists. As described in Hidden Technical Debt in Machine Learning Systems, ML…