An introduction to machine learning (ML) session typically covers the basics of ML and its applications. It introduces fundamental concepts and techniques, such as supervised and unsupervised learning, regression, classification, and clustering. The session also covers the use of popular ML algorithms, tools, and libraries, and provides hands-on experience in implementing ML models. The goal of the session is to provide attendees with a strong foundation for exploring and applying ML to real-world problems.