Repository containing the source code of our project for the ING1 course "Simulation Monte-Carlo" at CY Tech.
In this project we had to implement a Gaussian Process from scratch and apply it to a dataset following in a machine-learning fashion (train-test split and optimizing hyperparameters).
Authors : Charles-Meldhine Madi Mnemoi, Lucas Terra, Marwa Tourabi, Youssef Saïdi
You need Python 3.10+ to run the project. If you run Anaconda or Miniconda :
conda create -n gaussian_process python=3.10 -y
conda activate gaussian_process
pip install -r requirements.txt