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18ML-course HW0: HW1: (1)KNN implementation (2)Decision Tree implementation 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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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