Exploratory analysis and ML development to predict a wine quality based on its chemical composition.
- Build a ML model API to predict the wine quality based on its chemistry.
- Jupyter notebook: contains the premilinary studies, such as a exploratory analysis, some p-value tests and some ML tests.
- deploy.py: contain the deployment builded using flask.
- test_script.py: is a python script to test the API.
- The remaining files are the data to test the api on the json file and the ML model.
- The data used here were found at Kaggle: https://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009/data
P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.