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Documentation

The project instructions can be found here. All tasks related to the project can be viewed here.

Discord channel

Click here to enter into the discord server.

Report

The final report can be found here

Subgroups

This project is made up of three sub-groups with 3 students each.

Sub-group 1 Sub-group 2 Sub-group 3
Jamie Dantas Minghong Xu Nizwa Javed
Matthew Tolentino Baoqi Yu Thomas Lykouras
David Mounes Yiming Shao Umer Qudrat

Main contact: Jaime Dantas.

Dataset

The dataset selected can be found here.

Models

The models selected were:

  1. Feed-forward Neural network
  2. K-nearest neighbour predictor
  3. Kernelized support vector machine

Timetable

10 11 12 13 14 15 16 17 18 19 20
pick dataset train predictor 1 evaluate predictor 1 write 1 write planning combine review submmit
tune predictor 1 write conclusion
shuffle dataset train predictor 2 evaluate predictor 2 write 2
tune predictor 2
choose models train predictor 3 evaluate predictor 3 write 3
tune predictor 3
split dataset ensemble models

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