Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow includes a series of steps that lead you from data gathering to model deployment. First, it's crucial to specify your goals and gather the suitable dataset. Data cleaning follows, demanding techniques like scaling to p