Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow encompasses a series of phases that guide you from data gathering to model release. First, it's crucial to define your targets and collect the appropriate dataset. Data cleaning follows, requiring techniques like stand