This is a course final project, presenting a solution with a purpose of extracting rules from dataset of transactions. Solution has been tested on specific domain related to persons prefereces in manga and comics.
More about this method of knowledge extraction can be found here: https://en.wikipedia.org/wiki/Association_rule_learning
The provided solution uses Apriori algorithm for mining rules from data and presents them in various forms (Popular sets, Rules, If->Then).
To run this project at your machine you need install required packages from requirements.txt. This can be done with following command.:
pip install -r requirements.txtPrior to that I recommend to create your own venv. After that you can launch server locally with this command:
streamlit run main.pyThe webpage will open and interactable UI will appear.