Project 3 for FYS-STK4155 - Applied Data Analysis and Machine Learning A.Y. 2023/24
This repository contains the files created for the development of the project.
It contains a folder, src, containing the code implemented to solve the tasks:
- RFXG: code for XGBoosting and Random Forest
- FFNN_tensorflow: code for the Feed-Forward Neural Network using tensorflow
- FFNN_tensorflow2: other run of the FFNN, modifying the learning rates, the hidden layers and the number of epochs
The folder report contains the LaTeX files as well as the compiled PDF file.
The project has been made by:
- Marco Pozzoli
- Lila Cassan
The dataset is available at: http://archive.ics.uci.edu/dataset/31/covertype