Establishing a robust machine learning workflow is paramount for realizing consistent and scalable results. A well-defined workflow encompasses a series of phases that direct you from data procurement to model deployment. Initially, it's crucial to specify your goals and gather the relevant dataset. Data transformation follows, requiring techniques