Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow integrates a series of steps that direct you from data gathering to model deployment. Initially, it's crucial to outline your objectives and collect the suitable dataset. Data preprocessing follows, requiring technique