Level UP-Prediction of functional COVID data

Closed
Preferred learners
  • Edmonton, Alberta, Canada
  • Academic experience
Categories
Data analysis
Skills
python (programming language) k-nearest neighbors algorithm forecasting
Project scope
What is the main goal for this project?

positions available: 2

The students will implement the KNN algorithm for Covid data in Python based on existing libraries.

What tasks will learners need to complete to achieve the project goal?

-study the existing python code for prediction with knn algorithm

-modify the code to work with given Covid data

How will you support learners in completing the project?

The student will work under the supervision of Cristina Anton, Calin Anton and Mohamad El-Hajj.

About the company

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.