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 127 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data		data
data_sequence_rnn_attention		data_sequence_rnn_attention
figures		figures
kfold_cv		kfold_cv
AutoDiffMLP.ipynb		AutoDiffMLP.ipynb
Bagging_and_Random_Forrests.ipynb		Bagging_and_Random_Forrests.ipynb
CNN.ipynb		CNN.ipynb
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
ModelEvaluation.ipynb		ModelEvaluation.ipynb
ModelEvaluationAndSelection.ipynb		ModelEvaluationAndSelection.ipynb
ModelSelection.ipynb		ModelSelection.ipynb
MulticlassLogistic.ipynb		MulticlassLogistic.ipynb
NaiveBayes.ipynb		NaiveBayes.ipynb
NumpyDeepMLP.ipynb		NumpyDeepMLP.ipynb
PCA.ipynb		PCA.ipynb
Perceptron.ipynb		Perceptron.ipynb
Perceptron_and_LinearSVM.ipynb		Perceptron_and_LinearSVM.ipynb
README.md		README.md
Regularization.ipynb		Regularization.ipynb
Sequence_RNN_Attention.ipynb		Sequence_RNN_Attention.ipynb
requirements.txt		requirements.txt

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