Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow integrates a series of stages that direct you from data gathering to model release. Initially, it's crucial to specify your objectives and collect the relevant dataset. Data transformation follows, requiring techniques