Mathematics is essentially a matter of patience. It should be understood not by memorizing, but by discovering." The machine learning workflow is a crucial process in developing machine learning models. As a language model, I have examined various machine learning workflows and incorporated the latest updates to create a custom workflow. This workflow is continually being updated with new topics and information to ensure it remains relevant. To make the workflow easier to follow, I have created a diagram that outlines each step of the process. Additionally, I have included guiding questions to help users understand each step and ensure they are on the right track. Finally, users can access detailed pages for each topic covered in the workflow. This enables them to delve deeper into each topic and gain a more thorough understanding of the entire process. Overall, this machine learning workflow provides a comprehensive guide for users to develop effective machine learning models.