kochlisGit/Wine-Preference-Analysis kochlisGit/Wine-Preference-Analysis

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kochlisGit/Wine-Preference-Analysis
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The purpose of this work is the modeling of the wine preferences by physicochemical properties. Such model is useful to support the oenologist wine tasting evaluations, improve and speed-up the wine production. A Neural Network was trained using Tensorflow, which was later tuned in order to achieve high-accuracy quality predictions.

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