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

Name		Name	Last commit message	Last commit date
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

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