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