Implementation of Machine Learning

Introduction

These are the implementation of machine learning algorithms from scratch.

• [x] Linear_regression
  • [x] Least square method
• [x] Logistic regression
  • [x] Logistic regression
  • [x] Distributed logistic regression
• [x] Bayes
  • [x] Navie bayes
• [x] Decision tree
  • [x] C4.5 decision tree
  • [x] ID3 decision tree
  • [ ] Random forest
  • [ ] Gradient boosting tree
• [x] Neural network
  • [x] Perception
  • [x] Neural network
• [x] SVM
  • [x] SVM
• [ ] FM
• [ ] Random forest
• [ ] KMeans
• [ ] Condictional random field
  • [ ] Condictional random field
• [ ] Others
  • [ ] Sigmoid
  • [ ] Standard deviation
  • [ ] Normal distribution
  • [ ] Auto gradient
  • [x] Random walk