ModelX - Workshop 02

​As part of ModelX, a premier AI hackathon organized by the IEEE CIS of IIT, Workshop 02 will dive into the world of Deep Learning for structured and time-series data, exploring how neural networks can capture patterns, trends, and dependencies across time. Participants will also gain practical exposure to time-series forecasting techniques, learning how to build, train, and evaluate models that predict future outcomes from sequential data.

​Through engaging demonstrations and real-world examples, this online session will cover core deep learning architectures suitable for tabular and temporal datasets, along with hands-on practice in applying these models to real forecasting problems.

​Participants will learn to design, train, and interpret deep learning models for practical time-series applications, equipping them with the knowledge to apply these methods in finance, healthcare, and other dynamic domains.

​💻 Note: As this is an online workshop, ensure you have a stable internet connection and your laptop ready to follow along with the practical exercises.

​This session aims to empower students to harness the power of deep learning in handling structured and temporal data, bridging the gap between traditional ML and modern AI-driven forecasting solutions.