Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow encompasses a series of phases that guide you from data acquisition to model deployment. Initially, it's crucial to outline your goals and collect the relevant dataset. Data cleaning follows, demanding techniques like