Implementation of Machine Learning

Introduction

These are the implementation of machine learning algorithms from scratch.

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