Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow encompasses a series of steps that direct you from data gathering to model deployment. First, it's crucial to specify your goals and collect the relevant dataset. Data cleaning follows, involving techniques like scalin