Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow includes a series of stages that direct you from data procurement to model release. First, it's crucial to define your targets and collect the suitable dataset. Data cleaning follows, requiring techniques like normaliz