#
tuckey-s-hsd-test
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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
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Updated
Dec 15, 2022 - HTML
Using One Way ANOVA to find difference in treatments on plant growth
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Jul 22, 2021 - Jupyter Notebook
Statistical analyses visualisation in R I
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Updated
Jan 31, 2024
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