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 define your objectives and collect the suitable dataset. Data cleaning follows, involving techniques like