Machine Learning

1. Three Parametric Approach to Classification

2. Regression

3. Fisher Linear Discriminal

4. Perceptron

5. SVM

6. K-Nearest Neighbor

7. Feature Selection

8. Decision Tree Model

9. Naive Bayes

10. Logistic Regression

11. Unsupervised Learning