Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow integrates a series of stages that guide you from data procurement to model deployment. Initially, it's crucial to define your targets and acquire the relevant dataset. Data cleaning follows, requiring techniques like