Establishing a robust machine learning workflow is paramount for obtaining consistent and scalable results. A well-defined workflow encompasses a series of steps that direct you from data gathering to model deployment. First, it's crucial to define your targets and collect the relevant dataset. Data preprocessing follows, requiring techniques like