100% FreeAI & Machine LearningMachine Learning Essentials
A practical foundation for analysts, engineers and managers who want to build supervised models without a research background. You will follow a full workflow from questions and data checks through splits, regression and classification, regularisation, metrics, features, pipelines, model choice and a first step toward production. Ten lessons with worked examples take about 12 hours.
11 lessons · Capstone Exam · Certificate

