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December 8, 2018 22:21
HW0
October 4, 2018 23:13
HW1
October 4, 2018 23:13
HW2
October 4, 2018 23:13
HW3
December 8, 2018 22:21
HW4
December 8, 2018 22:21
December 8, 2018 22:21
December 8, 2018 22:21
ppt
December 8, 2018 22:21
December 8, 2018 22:21
December 9, 2018 11:39

18ML-course

Course code for maching learning

HW0:

BFS algorithm implementation

HW1:

(1)KNN implementation

including normalization and k,distance matrix hyper-parameters testing

(2)Decision Tree implementation

max_depth testing and post prunning

HW2

(1) Perceptron implementation and testing on MNIST

(2) Average Perceptron implementation and testing on MNIST

(3) Winnow implementation and testing on MNIST

HW3

(1) BGD based perceptron on MNIST

(2) SGD based perceptron on MNIST

HW4

Implementing Adaboost with decision stump

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