Introduction to Machine Learning

This intensive introductory course provides a comprehensive foundation in the core concepts, algorithms, and practical applications of machine learning. Students will delve into the fundamental principles of supervised and unsupervised learning, gaining hands-on experience in data preprocessing, model development, and evaluation. Emphasis will be placed on practical implementation using Python and relevant machine learning libraries. This course aims to equip students with the essential knowledge and skills to understand and apply machine learning techniques to real-world problems. Weekly live Zoom sessions will provide opportunities for interactive learning, Q&A, and deeper engagement with the course material.