Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow integrates a series of steps that lead you from data procurement to model deployment. Initially, it's crucial to specify your targets and gather the appropriate dataset. Data preprocessing follows, demanding techniques