Technical Workshop Series
K-means Clustering for Data Analysis (1st Offering)
Presenter: Nahid Abdolrahmanpour
Date: Friday, July 19th, 2024
Time: 12:00 pm
Location: 4th Floor at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
This is a hands-on workshop, please bring your laptop.
Abstract:
Unlock the potential of unsupervised learning with our workshop on K-means clustering! Dive into clustering algorithms and see how K-means reveal hidden patterns in your data. With a mix of theory and real-world examples, you'll be equipped to use K-means effectively in your projects. Demystify clustering and start making data-driven decisions with us!
Workshop Outline:
- Introduction to Clustering
- Understanding K-means Clustering
- Implementation of K-means
- Evaluation of K-means Clustering
- Practical Applications and Examples
- Tips and Best Practices
- Q&A Session
- Conclusion
Prerequisites:
- Basic understanding of machine learning concepts
- Familiarity with data analysis principles
- Interest in learning about clustering algorithms and their applications
Biography:
I am Nahid Abdolrahmanpour (Ph.D. Student in Computer Science) at the University of Windsor, With a solid foundation in Data Mining and Artificial Intelligence.
Research Focus: Social Network Analysis
I have already earned a master's degree in computer science, specializing in Data Mining.
MAC STUDENTS ONLY - Register here
Reminder: Workshops marked as 1st Offering and 2nd Offering mean the exact same workshop is running at two different times - DO NOT REGISTER FOR BOTH. Students will not get points for attending the same workshop twice.