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mosama1994 / Wine-Quality-Analysis-using-R

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Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.

markdown r cross-validation t-test regularization hypothesis-testing anova benferroni f-test ancova proportion-test tuckey-s-hsd-test
  • Updated Dec 15, 2022
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