Yellowbrick is an open-source, pure Python project that wraps matplotlib and extends scikit-learn to create visual analysis and diagnostic tools for machine learning. Yellowbrick’s goal is to assist users in evaluating the performance, stability, and predictive value of machine learning models and assist in diagnosing problems throughout the machine learning workflow. Recently, much of this workflow has been automated through grid search methods, standardized APIs, and GUI-based applications. In practice, however, human intuition and guidance can more effectively hone in on quality models than exhaustive search. By visualizing the model selection process, data scientists can steer towards final, explainable models and avoid pitfalls and traps.