项目描述 ：
Performed Predictive Modeling on the wine dataset and built five models for comparing the accuracy of predicting the quality of wine into categorical values. the highest accuracy was obtained using the XG Boost algorithm among Random Forest, Decision Tree, Gradient Boost, and Ada Boost models

高级语言： Jupyter Notebook

项目主页：

项目地址: git://github.com/Krisshvamsi/Modeling-Wine-Quality-based-on-its-physicochemical-attributes.git

创建时间： 2021-07-21T15:29:23Z
项目社区：https://github.com/Krisshvamsi/Modeling-Wine-Quality-based-on-its-physicochemical-attributes
开源协议：
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