Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow includes a series of stages that lead you from data procurement to model deployment. Primarily, it's crucial to define your targets and collect the suitable dataset. Data cleaning follows, demanding techniques like sta