Establishing a robust machine learning workflow is paramount for realizing consistent and scalable results. A well-defined workflow includes a series of phases that lead you from data gathering to model release. Initially, it's crucial to specify your targets and acquire the relevant dataset. Data transformation follows, involving techniques like n