This course offers a comprehensive introduction to applied machine learning techniques within the context of public health and healthcare systems. Students will learn how to develop, evaluate, and deploy machine learning models to solve real-world problems in healthcare, ranging from patient outcome prediction to disease diagnosis and treatment optimization.

The course will emphasize both the theoretical foundations of machine learning algorithms and their practical application using Python programming. Throughout the course, students will gain hands-on experience by working on various healthcare-related projects and participating in datathons. These activities will provide students with the opportunity to apply their knowledge and skills to real-world healthcare datasets, thereby reinforcing their understanding of machine learning concepts and techniques.