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 Download 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 Links to an external site. as a simple example of how to get started.

Or if you prefer to handle things on your own you have the files Download knn-example.py

, Download training_data.csv, Download songs_to_classify.csv and Download readme.txt.

 

Send in your prediction (a string of 200 numbers, 0 or 1) to this scoreboard server Links to an external site..

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.

 

1664747999 10/02/2022 11:59pm