Courses - Foundation

This course provides a comprehensive introduction to the fundamental concepts and techniques of machine learning. This course covers key topics such as supervised and unsupervised learning, regression, classification, clustering, and evaluation metrics. Through a combination of lectures, hands-on exercises, and practical projects, participants will gain a solid understanding of the underlying principles of machine learning algorithms and how to apply them to real-world problems. Whether you're a beginner looking to enter the field of machine learning or a professional seeking to deepen your understanding, this course will provide you with the foundational knowledge and skills needed to succeed in this rapidly evolving field.