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