Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow includes a series of stages that direct you from data acquisition to model deployment. Initially, it's crucial to outline your goals and collect the relevant dataset. Data transformation follows, involving techniques l