Machine Learning

Part 1 Supervised Learning 

1. Liner Regression 
2. Logistics Regression 
3. Support Vector Machines (SVM)
4. Na¨ıve Bayes
5. Ordinal Regression
6. Multinomial Regression
7. k-Nearest Neighbor Classification
8. Decision Tree 
9. GINI Dacesion Tree 
10. Bootstrap Aggregating (Bagging),
11. Random forest Resembling ,
12. Support vector machine
13. Neural Network
14. Deep Learning