In this repo, I have post some of my machine learning assignment in which I mainly used scikit-learn and numpy to facilitate my work. Pandas was not used because there was not much data processing work. Besides, I had also written a file for Back-propagation without using machine learning library, though it is still under testing :)

1. zwang635-analysis2.pdf - This is the summary paper work of these codes
2. algo_decision_tree.py - Python file for decision tree
3. algo_boosting.py - Python file for adaptive boosting
4. algo_neural_network.py - Python file for neural network
5. algo_nn2.py - Python file for neural network using Numpy and OOP
6. run_algo.py - Main Python file to call different algorithms
7. poker and redwine_1 - Data sets
8. redwine_1.pdf - Sample tree structure of decision tree algorithm