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