Machine Learning Algorithms: Lab Exercises

Submission: Lab exercises must be submitted on the following ecampus page:


You must submit only two files: your report as a PDF file and your code as a ipynb file. Please, only submit one time per group, and put all group members name at the beginning of each document.

Deadlines (2023):

  • Lab exercise 1: TODO

Deadlines are hard, the submission website automatically close after them, so I strongly advise to not submit during the last minutes in order to avoid problems.

Groups: There should be 1, 2 or 3 students per group.

Lab exercise 1


Report instructions

So the question is: what do you need to write in the report? There are no specific instruction! You must think about the report as an essay: the objective of the report is that you convince us that you understand the theoretical foundation of the model and how to implement it in practice. Use your own word and notations, try to process the course and the lab exercise and explain them to us. Do not write handwavy explanation. You should probably use Latex for this.


  • Goal of the lab exercise

  • Algorithms explanation in your own words

  • Implementation details

  • Experiment results: hyperparameters, learning curves, analysis, model/dataset comparison.

Length: 2-4 pages if double columns, a little bit longer otherwise, but these are not hard limits - you can do less, you can do a little more. Just don’t write too much, go to the essential. Formal notations with minimum writing to be understandable. Just convince me that you know what you are talking about. :)

Scoring: as long as you do the work seriously, that you commented the code you wrote and you submit a nice report, we will give you a good grade. Do not worry if you did not succeed to do everything or if you didn’t understand something. Explain in the report what you did not succeed so we can see you did some effort.

Frequently asked questions

  • Can we be four students in a group? No.

  • Can I submit a commented notebook instead of a PDF report? No.