About This workshop
This intensive, hands-on workshop focuses on leveraging Artificial Intelligence for sustainable urban development. Participants will gain practical experience in designing and implementing predictive models to address critical environmental and infrastructure challenges within a smart city context. Using Python, scikit-learn, and real-world public datasets, attendees will work through case studies involving energy consumption forecasting, waste generation prediction, and traffic pattern optimization. The session will cover data preprocessing, feature engineering, model selection, and deployment considerations, empowering professionals to build more resilient and eco-friendly urban environments.
