All Programming implementation from Machine Learning Technique homework. I try & implement the following machine learning algorithm:
- HW1
- Hard-Margin Support Vector Machine (by cvxopt)
- Soft-Margin Support Vector Machine (by sklearn)
- HW2
- Adaboost + Decision Stump
- Kernel Ridge Regession
- HW3
- Decision Tree (CART)
- Random Forest (CART)
- HW4
- K-Means
- K-Nearest Neighbor
- Netural Network
All program is written by Python, parameters are fixed and you can just command: python {program name}.py