Description of the workshop

This workshop provides a hands-on introduction to the fundamentals and applications of Data Science and Machine Learning. It is designed to equip participants with practical knowledge of data analysis, visualization, and predictive modeling using Python. The session covers key concepts such as data preprocessing, exploratory data analysis, supervised/unsupervised learning techniques, and model evaluation. Through real-world case studies and interactive exercises, participants will gain insights into how data-driven approaches can support decision-making across domains. The workshop is suitable for students, faculty, and industry professionals seeking to build or enhance their hands-on skills in Data Science and Machine Learning.