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https://github.com/resulemreaygan/recommendation-system


https://github.com/resulemreaygan/recommendation-system

apriori apriori-algorithm flask flask-restful fpgrowth matplotlib matplotlib-pyplot mlextend pandas python3 seaborn squarify waitress

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README

          

# Recommendation System App

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install the necessary packages to run recommendation system.

```bash
pip install flask~=2.0.1
pip install waitress~=2.0.0
pip install pandas~=1.1.5
pip install mlxtend~=0.18.0
pip install matplotlib~=3.4.2
pip install seaborn~=0.11.1
pip install squarify~=0.4.3
```
or just run `pip install -r requirements.txt`

Python Version: 3.7

## Dataset

This dataset cannot be shared for privacy reasons.

## Usage

You can edit the relevant places for your parameters from all_constants.py.

Just run `python app.py`

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)