Building, Optimizing, and Validating Machine Learning Models

Machine learning models rarely perform well without careful design, evaluation, and optimization. In this course, you'll learn how to build machine learning models and systematically improve their performance using proven engineering practices. You’ll start by learning how to map business problems to appropriate machine learning tasks and train multiple model types using common ML libraries. You’ll explore how different algorithms behave under varying data conditions and learn how to justify model choices based on performance and bias-variance trade-offs. Next, you’ll optimize models through…