Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow encompasses a series of phases that direct you from data procurement to model implementation. Primarily, it's crucial to outline your targets and gather the relevant dataset. Data cleaning follows, requiring techniques