iamollas/Informatics-Cafe-XAI-IML-Tutorial

Resources from XAI-IML tutorial of Informatics Cafe, School of Informatics, Aristotle University of Thessaloniki

Informatics-Cafe-XAI-IML-Tutorial

Resources from XAI-IML tutorial of Informatics Cafe, School of Informatics, Aristotle University of Thessaloniki

In this repository you will find the following resources:

1. The powerpoint presentation
2. The presentation in pdf
3. The random generated dataset to predict if you will eventually graduate
4. The jupyter notebook with the linear model
5. The LionForests Bot

You will only need to install Python 3.7 or earlier and the following dependencies:

pip install Flask==1.1.1
pip install notebook==6.1.4
pip install scikit-learn==0.23.1
pip install seaborn==0.9.0
pip install numpy==1.19.5
pip install mlxtend==0.18.0
pip install matplotlib==3.1.3
pip install ipython==7.18.1
pip install ipywidgets==7.5.1
pip install pandas==0.25.1

Now to run the notebook just type in your terminal

jupyter notebook

Then, navigate to the Transparent Model Interpretability notebook and experiment.

To test the LF Bot set the directory to the LionForests-Bot folder and then type

python app.py

Then, access the webpage printed in your terminal and try the bot yourself.