The course is designed to provide participants with a comprehensive understanding of classification techniques in the realm of machine learning. Classification is a fundamental concept in supervised learning, where the goal is to assign predefined categories or labels to input data points. Classification is used extensively in fields such as image recognition, spam email detection, sentiment analysis, medical diagnosis, and much more. This course is structured to cover a range of classification algorithms, from traditional techniques like logistic regression to advanced methods such as support vector machines and neural networks.