This project is part of a blog article published at Medium. We like to give you a step by step guide on how to document your Python Data Science Project effectively as part of your machine learning model development. The solution, we propose, ensures that your documentation is version controlled, shipped with the source code executing your machine learning experiment and made available to your users or co-workers using generally available tools including sphinx, GitHub, Microsoft Azure DevOps, and Azure storage or Azure web Services.