Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow includes a series of phases that guide you from data acquisition to model deployment. Primarily, it's crucial to specify your goals and collect the appropriate dataset. Data preprocessing follows, involving techniques