Optimize AI: Build & Evaluate Predictive Models

This short course helps you build and evaluate predictive models using supervised and unsupervised techniques. You will practice training algorithms with scikit-learn, explore how cross-validation affects model reliability, and analyze performance metrics like accuracy and F1 to make data-driven improvements. Instead of relying on guesswork, you’ll learn how to iterate systematically so your models meet defined performance targets. Through hands-on labs and guided coaching, you will build logistic-regression and clustering models, apply 5-fold cross-validation, and refine features until your m…