Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow integrates a series of steps that lead you from data acquisition to model deployment. First, it's crucial to define your goals and acquire the appropriate dataset. Data transformation follows, demanding techniques like