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Study Guide
CSC2515 Grad Project

CSC411/2515: Machine Learning and Data Mining

Winter 2018


Project 1: Face Recognition and Gender Classification with Regression (Worth 10%, Due Jan. 29 at 22:59PM).

Project 1 bonus: Investigating k-NN (A bonus of 1%, Due Feb. 5 at 22:59PM).

Project 2 (Worth 10%)

Project 3 (Worth 10%)

Project 4 (Worth 10%)

General Information

There will be four projects. The first project is to be done independently, and the rest can be done in pairs. The late penalty is 4% of the possible marks per day, rounded up.

Sample Project and Template

Here's a sample report/LaTeX template containing advice on how to write project reports in AI courses: Report Zip, tex file, and pdf output. The example is based on Programming Computer Vision with Python pp27-30.

Project Submission

All project submission will be done electronically, using MarkUs.

MarkUs will be accessible after Jan. 20.

For group projects, to submit as a group, one of you needs to "invite" the other to be partners, and then the other student needs to accept the invitation. To invite a partner, navigate to the appropriate Assignment page, find "Group Information", and click on "Invite". You will be prompted for the other student's CDF user name; enter it. To accept an invitation, find "Group Information" on the Assignment page, find the invitation listed there, and click on "Join".

Only one student must invite the other!

If both students send an invitation, then neither of you will be able to accept the other's invitation. So make sure to agree beforehand on who will send the invitation! Also, remember that, when working in a group, only one person must submit solutions. Your code should generate all the figures used in the report; describe and analyze the inputs and the outputs; add your interpretation where feasible.