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.

Name		Name	Last commit message	Last commit date
U41261655 Muhammad Osama CS 555 Project.Rmd		U41261655 Muhammad Osama CS 555 Project.Rmd
U41261655-Muhammad-Osama-CS-555-Project.html		U41261655-Muhammad-Osama-CS-555-Project.html
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

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