Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow integrates a series of stages that lead you from data acquisition to model deployment. Primarily, it's crucial to specify your goals and collect the appropriate dataset. Data transformation follows, involving technique