This course introduces students to the fundamental concepts and techniques of statistical machine learning, with a focus on applications in economics. Students will learn how to apply machine learning algorithms to analyze economic data, make predictions, and derive insights that support decision-making processes. Using R as the primary programming language, the course will cover supervised and unsupervised learning methods, model evaluation, and feature selection techniques. Through hands-on projects and case studies, students will gain practical skills in implementing machine learning models in an economic context.