Includes:

• Linear Regression
• Decision Trees
• Gradient Descent
• Gradient Descent Logistic Regression
• Perceptron
• Expectation Maximization
• Naive Bayes
  • Bernoulli
  • Gaussian
  • Histogram
  • Gaussian Mixture Models
• Neural Network (Autoencoder)
• AdaBoost
  • Multiclass with Error Correcting Output Codes
• Sequential Minimal Optimization
• Clustering
  • Kmeans
  • Hierarchical
• Local Classification
  • Fixed Window
  • K Nearest Neighbors
  • Kernel Density