The machine learning course is a comprehensive program designed to engage in data-driven decision-making. Throughout the course, students will learn to understand the fundamental principles and techniques that underpin modern machine learning. We will explore topics such as supervised and unsupervised learning, Bayesian and non-Bayesian approaches. The curriculum also includes hands-on practical exercises, enabling students to develop a strong foundation in data preprocessing, model selection, and evaluation on real-world applications. By the end of the course, participants emerge with a profound understanding of machine learning algorithms, the ability to implement them, and the confidence to harness the power of data to drive innovation and insights in various domains.