Learn to Choose the Right ML Model

Learn to Choose the Right ML Model is an intermediate course for data scientists, ML engineers, and analytics-minded developers who want to make model choices you can defend—not just experiment and hope for the best. As machine learning powers more business-critical systems, success depends on moving beyond intuition and automating robust, fair, and metrics-driven selection and deployment. In this course, you’ll practice structured problem typing, compare major algorithm families, and apply real-world metrics to pick and monitor models that work in the wild. You'll learn through case studies (…