This program provides a foundational introduction to Machine Learning (ML) over five sessions. Participants will explore key ML concepts such as supervised and unsupervised learning, regression, classification, and clustering. Practical sessions using Python and Scikit-Learn will focus on implementing and evaluating ML algorithms. By the end of the program, participants will have gained essential skills to apply ML techniques to real-world datasets and scenarios effectively.