Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms
Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms using Logistic Regression.
Clone the Repository
git clone https://github.com/smv5467/pcos-prediction
Add Dependencies with Poetry
If you don’t have poetry install with:
curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
poetry install
Download Data
Retrieve data from Kaggle: https://www.kaggle.com/prasoonkottarathil/polycystic-ovary-syndrome-pcos
Download PCOS_data_without_infertility.xlsx
Open excel file and save as a CSV file under the same name
Run program
poetry run python pcos_predictor.py
GitHub