Meeting sessions

topic: k-Nearest Neighbors
class notes

topic: Decision Trees
class notes

topic: Naive Bayes Classification
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topic: Logistic Regression
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topic: Support Vector Machines
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topic: Adaboost
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topic: kNN, SVM, and Random Forests Theory
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slides

topic: Implementing Kaggle Machine Learning projects
class notes
Algorithm Comparisons
Machine Learning Project Development Process