Workshop on Mastering Data and Machine Learning with RapidMiner Held at BIT

The Department of Electronics and Communication Engineering, in collaboration with the IEEE BIT Student Branch and IEEE Bangalore Section, organized a hands-on workshop titled “Mastering Data and Machine Learning Processes with RapidMiner” on December 3, 2024. The event, held at the Mobile App Development Lab, witnessed active participation from students and faculty members.

The workshop began with welcome by Dr. Abdullah Gubbi, Head of the Department of Electronics and Communication Engineering, who highlighted the importance of enhancing technical skills in data analytics and machine learning to stay relevant in today’s competitive world.

The session was led by Dr. Raghavendra S, Associate Professor at MIT Manipal, a distinguished expert in data science. Dr. Raghavendra showcased live demonstrations of case studies, including a classification task and a regression task, using RapidMiner. Participants were guided through data preprocessing, model building, and performance evaluation. The session also included hands-on exercises, where attendees practiced building workflows on provided datasets, gaining practical experience.

The event concluded with a Q&A session, followed by the vote of thanks delivered by Prof. Sinan, Head of the Department of Computer Science and Engineering, who expressed gratitude to the speaker, participants, and sponsors, including IEEE Bangalore Section and IEEE Mangalore Subsection.