Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow integrates a series of phases that guide you from data acquisition to model release. First, it's crucial to define your objectives and gather the relevant dataset. Data transformation follows, involving techniques like