In recent years, machine learning is experiencing a new golden age with the implementation of such methods in a wide variety of fields of study. Among them, the use of such techniques for source code analysis is gaining ground in tasks such as code optimization, code suggestion and bug detection. This project is intended to be an introductory study for the application of these techniques in academic and didactic fields. In the course of this research we tried to analyze the source code developed by the students of the computer science course at the Ecole Polytechnique de Louvain. In particular, we tried to predict the outcome of the final exam taken by a student starting from the source code of the exercises carried out during the semester.