Establishing a robust machine learning workflow is paramount for realizing consistent and scalable results. A well-defined workflow integrates a series of stages that guide you from data procurement to model release. Initially, it's crucial to define your goals and collect the suitable dataset. Data transformation follows, requiring techniques like