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Project for the Machine Learning course - Using different classifiers to study a dataset of physico-chemical properties of wine

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WineClass

Andrea Sala - academic year 2020-21

This project tries to predict the score of some wine bottles given their physico-chemical properties. It uses some of the most common supervised learning algorithm. The project was developed for the Machine Learning course at Università degli Studi di Milano, Physics Dept., held by Professor Carlo Barbieri.

Feel free to clone or download the repository.

For any suggestion or comment, please contact me.

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Project for the Machine Learning course - Using different classifiers to study a dataset of physico-chemical properties of wine

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