Establishing a robust machine learning workflow is paramount for achieving consistent and scalable results. A well-defined workflow includes a series of phases that guide you from data acquisition to model implementation. Primarily, it's crucial to define your goals and collect the suitable dataset. Data preprocessing follows, requiring techniques