Level UP-Clustering of Covid data (part 2 of 2)

Closed
Project
Academic experience
40 hours per learner
Learner
Edmonton, Alberta, Canada
Intermediate level

Project scope

Categories
Data analysis
Skills
cluster analysis decision tree learning
Details

positions available: 1

The student will apply decision trees to explain the COVID data clustering. The student will interpret the results and write a report.

Deliverables
No deliverables exist for this project.
Mentorship

The student will work under the supervision of Calin Anton and Cristina Anton.

About the company

Company
Edmonton, Alberta, Canada
0 - 1 employees
Education

The Department of Mathematics and Statistics provides a vibrant and supportive home base for students who want to study mathematics and statistics. Our growing department is home to excellent scholars and has a deep commitment to student success, whether taking math as a requirement or as a pursuit of passion. Our faculty members are dedicated to providing an education that emphasizes the knowledge and broad analytical skills that are valuable in today’s world.

Beyond the classroom, our department organizes Torus Talks, a regular presentation series where faculty and students share insights into the uses and versatility of mathematics and statistics, and a Math Help Centre, where students can access additional support in mastering their course work.