GitHub - hpena212/wine-classification: Using Principal Component Analysis the goal of the project was to classify 3 different types of wine based on characteristics, random forest metrics and PCA with logistic regression were used and explored

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Principal Component Analysis Findings		Principal Component Analysis Findings
Wine Classification PCA.pdf		Wine Classification PCA.pdf
Wine Classification Prediction.ipynb		Wine Classification Prediction.ipynb
Wine Classification Presentation		Wine Classification Presentation
Wine.csv		Wine.csv

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Using Principal Component Analysis the goal of the project was to classify 3 different types of wine based on characteristics, random forest metrics and PCA with logistic regression were used and explored