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