GitHub - mosama1994/Wine-Quality-Analysis-using-R: 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.

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U41261655 Muhammad Osama CS 555 Project.Rmd		U41261655 Muhammad Osama CS 555 Project.Rmd
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Wine Quality - Red.csv		Wine Quality - Red.csv
Wine Quality - White.csv		Wine Quality - White.csv

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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.

ancova anova benferroni cross-validation f-test hypothesis-testing markdown proportion-test r regularization t-test tuckey-s-hsd-test