Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow encompasses a series of phases that lead you from data gathering to model deployment. First, it's crucial to define your goals and collect the relevant dataset. Data transformation follows, involving techniques like no