Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow integrates a series of phases that direct you from data procurement to model release. First, it's crucial to define your targets and collect the suitable dataset. Data cleaning follows, demanding techniques like normal