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