Generative and Deep Learning

The first midterm covers the fundamentals of probabilistic learning, until lecture 7. 

The midterm is described in the Colab notebook attached to this assignment. The notebook reports all the assignment rules, DOs and DON'Ts (including allowed libraries and rules on GPTs). 

The dataset is provided in file train.csv, also attached below.

Delivery of the completed midterms requires uploading your Colab file, renamed with the following finel naming convention: "GDL Midterm 1 - ID XXX.ipynb"
The XXX part of the filename should be substituted with the Submission ID you have received when you signed up your Student ID on the sheet circulated during the lectures.

If you don't have a Submission ID, you are not allowed to submit the midterm. Submissions without a proper Submission ID or where the Submission ID does not match with the Student ID reported in the sheet, will be graded as fail.

Your solution will have to be uploaded here by the Midterm deadline: no extensions will be given. Late submission will be graded as fail.