Class evaluation

Homeworks [5%]

There will be 2 homeworks during the semester. They are individual and should be handed in on lola. You get all the points if you hand them in (and your answers are correct) on time, and 0 otherwise.

NLP+ML challenge [15%]

This is a 3-hour in-class challenge where teams of up to 2 students will build an end-to-end pipeline. The challenge starts in class, and students have 48 hours after the class to refine their code and push it to a GitHub repository. All details are available on the challenge page.

Course project [80%]

The bulk of the evaluation arises from the course project that students have to hand in . This is a computing project to be realized by groups of 2 persons. The content is free, but will have to include: All details are available on the project page.

Grade decomposition

Detail Grade decomposition
Class project (=hand in January ?) 80%
Data management 15%
Descriptive analysis 15%
Modeling (ML and/or NLP) 15%
Code format (clean code and GitHub) 15%
Oral presentation (individual + group component) (=January ?) 20%
Homeworks 5%
NLP+ML challenge (group) 15%