Supervised-Learning-and-Data-Challenge

November 2023

The project entails the application of supervised and semi-supervised learning techniques to tackle a regression and a multiclass classification challenges. This work is a part of the Advanced Supervised Learning and Data Challenge within the second year of the MSc Mathematics and AI program at Paris-Saclay University.

Regression problem

It involves a regression problem centered on predicting the quality of wine, rated on a scale from 1 to 10.

Multiclass classification problem

It involves a celestial objects classification, where there are three classes(galaxy, star or quasar).

Methodology

The report detailing the introduced methodology, as well as the associated code, is accessible within this repository.

Authors

Lucas BIECHY (lucas.biechy@university-paris-saclay.fr) and Angel REYERO (angel.reyero-lobo@universite-paris-saclay.fr).