Machine learning models require mastering training and evaluation for achieving top performance and real-world success.Building machine learning models involves understanding the data story, uncovering hidden patterns, and teaching machines to think like humans.Mastering machine learning involves a clear step-by-step process of training, evaluation, and fine-tuning for optimal performance.Success in machine learning is achieved through feeding the model the right data, honest measurement of its success, and continuous refinement.