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