Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow integrates a series of stages that guide you from data acquisition to model release. Primarily, it's crucial to specify your goals and collect the suitable dataset. Data cleaning follows, demanding techniques like norm