In this repository you will find the final project for the UE Machine Learning (IMT Atlantique - 2021).
6D23- Martina María BALBI ANTUNES
- Mateo BENTURA
- Ezequiel CENTOFANTI
- Kevin MICHALEWICZ
In order to be able to execute the following steps, you will need to create a Python Environement. This can be done by:
pip install requirements.txtML-IMTA-Project
│ README.md # this file
│ requirements.txt
| main.py # main python file
│ report-ML_Project.tex
| Report___ML_Project.pdf
├── datasets
│ ├── data_banknote_authentication.txt # banknote auth dataset
│ └── kidney_disease.csv # kidney disease dataset
├── lib
│ ├── clean_normalize.py # functions to clean and normalize datasets
│ ├── ml_functions.py # implementations of ML methods
│ ├── nn_util.py # some useful tools for Neural Networks
│ └── tools.py # some useful general tools
└── plots
├── confusion matrices
└── nn_loss
In a Python Enviornment with the adequate project dependencies, only the following line has to be written:
python main.py