COMP551: Applied Machine Learning

Code used in some of the lecture slides

credit: based on notebook from Siamak Ravanbakhsh: https://github.com/mravanba/comp551-notebooks

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
CurseOfDimensionality.ipynb		CurseOfDimensionality.ipynb
DecisionTree.ipynb		DecisionTree.ipynb
EMforGaussianMixture.ipynb		EMforGaussianMixture.ipynb
Gaussian.ipynb		Gaussian.ipynb
GradientDescent.ipynb		GradientDescent.ipynb
KMeansClustering.ipynb		KMeansClustering.ipynb
KNN.ipynb		KNN.ipynb
License.txt		License.txt
LinearRegression.ipynb		LinearRegression.ipynb
LogisticRegression.ipynb		LogisticRegression.ipynb
MLE.ipynb		MLE.ipynb
MLE_BayesianInference.ipynb		MLE_BayesianInference.ipynb
MLP.ipynb		MLP.ipynb
ModelSelection.ipynb		ModelSelection.ipynb
NaiveBayes.ipynb		NaiveBayes.ipynb
PCA.ipynb		PCA.ipynb
Perceptron_and_LinearSVM.ipynb		Perceptron_and_LinearSVM.ipynb
README.md		README.md
Regularization.ipynb		Regularization.ipynb
bagging.ipynb		bagging.ipynb
requirements.txt		requirements.txt

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