This project is about the prediction of red wine quality using different machine learning algorithms
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Updated
Sep 17, 2020 - Jupyter Notebook
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This project is about the prediction of red wine quality using different machine learning algorithms
Contains project work for Udacity's Data Analyst Nanodegree from the September 2017 cohort
Red Wines quality exploration using R
This project aims to predict wine quality based on physicochemical properties. Using machine learning models including Random Forest and Gradient Boosting Classifier, this analysis identifies key factors affecting wine quality and builds a predictive model to classify wines.
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