Lab 1 - Competition: Music Taste Prediction
- Due Oct 2, 2022 by 11:59pm
- Points 1
- Submitting a file upload
- Available after Sep 13, 2022 at 12am
Here are the instructions for the assignment. This is an individual task, but you are allowed to cooperate if you want to. Your handin must however be written by you personally, and plagiarizing other persons' reports/presentations is not allowed.
We provide lab_song_classification.ipynb as a simple example of how to get started.
Or if you prefer to handle things on your own you have the files knn-example.py, training_data.csv, songs_to_classify.csv and readme.txt.
Send in your prediction (a string of 200 numbers, 0 or 1) to this scoreboard server.
Good luck !
You will later be sent two other persons' reports/presentations to give feedback upon in Canvas, see $CANVAS_OBJECT_REFERENCE$/assignments/g0700bb3d4d2d7f3a72f2dd8d99847104
This peer review task ("kamratgranskning") is also part of the assignment. Your peer reviews should be given in Canvas before the deadline.