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