Name		Name	Last commit message	Last commit date
Latest commit History 35 Commits
CurseOfDimensionality.ipynb		CurseOfDimensionality.ipynb
DecisionTree.ipynb		DecisionTree.ipynb
EMforGaussianMixture.ipynb		EMforGaussianMixture.ipynb
Gaussian.ipynb		Gaussian.ipynb
KMeansClustering.ipynb		KMeansClustering.ipynb
KNN.ipynb		KNN.ipynb
License.txt		License.txt
LinearRegression.ipynb		LinearRegression.ipynb
MLE_BayesianInference.ipynb		MLE_BayesianInference.ipynb
ModelSelection.ipynb		ModelSelection.ipynb
NaiveBayes.ipynb		NaiveBayes.ipynb
PCA.ipynb		PCA.ipynb
README.md		README.md
requirements.txt		requirements.txt

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COMP551: Applied Machine Learning (Fall 2020)

instructor: Siamak Ravanbakhsh

I'll use this repository to share the code for some of the topics that we cover in the class. If you have trouble following parts of the code:

first try to research and find an answer on your own
discuss with your classmates in the forum in myCourses
use TA and Instructor office hours to ask your questions

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Code provided for the Applied Machine Learning course (COMP 551)

www.siamak.page/courses/COMP551F21/index.html

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