This hands-on workshop aims to equip researchers with the foundational skills necessary to embark on their ML journey. Through interactive sessions, attendees will explore the basics of machine learning, including supervised and unsupervised learning techniques, and how these can be applied to solve real-world problems. Participants will gain practical experience by working directly with Python, a leading programming language in the ML community, and popular libraries such as scikit-learn and PyTorch.

By the end of this workshop, attendees will have a solid understanding of machine learning fundamentals, how to develop and evaluate predictive models, and the confidence to apply these techniques to their own projects. This workshop is ideal for researchers and professionals keen on integrating machine learning into their work or research to harness the power of data-driven decision-making.