My Machine Learning course projects.
All projects descriptions are in their folders.
HW1:
Function Approximation (Tic-tac-toe Game)
In this assignment I had to use the Mitchel’s described approach to implement an algorithm to learn to play Tic-tac-toe game. (This one is a smooth copy from other rep)
HW2:
Classification and Regression with Decision Tree Algorithms on requested datasests.
HW3:
Bagging and AdaBoost.M1 Ensemble Algorithms.
HW4:
Implementing Kernel KNN and Kernel Principal Component Analysis or KSPCA.
HW5:
Implementing a Paper.
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