GitHub - Abudo-S/WineQualityPrediction: Documented experiment for wine quality prediction through SVM, KSVM, LR and KLR. Implementation of SVM and Logistic Regression models [with optional non-linear kernelization] from scratch. Implementation of K-Fold cross validation for hyperparameter tuning. Implementation of PCA for dimensionality reduction.

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Documented experiment for wine quality prediction through SVM, KSVM, LR and KLR. Implementation of SVM and Logistic Regression models [with optional non-linear kernelization] from scratch. Implementation of K-Fold cross validation for hyperparameter tuning. Implementation of PCA for dimensionality reduction.

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Name		Name	Last commit message	Last commit date
Latest commit History 94 Commits
wine+quality		wine+quality
.gitignore		.gitignore
KCrossValidation.py		KCrossValidation.py
Kernel.py		Kernel.py
LogisticRegression.py		LogisticRegression.py
PCA.py		PCA.py
SVM.py		SVM.py
WineQualityPrediction.ipynb		WineQualityPrediction.ipynb
report_WineQualityPrediction.pdf		report_WineQualityPrediction.pdf