Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow includes a series of phases that direct you from data gathering to model deployment. First, it's crucial to outline your targets and collect the suitable dataset. Data transformation follows, demanding techniques like