MachineLearning

MachineLearning

Implemented this as a part of Machine Learning Course( CS 6375 ) by Prof. Nicholas Ruozzi at University of Texas at Dallas(UTD).

Implemented Different Machine Learning Models like

1. Gradient Descent ( Linear Regression )
2. Stochastic Gradient Descent
3. Support Vector Machine (Quadratic Programming) for Binary Classification
4. Decision Trees for Classification
5. Bagging
6. Boosting
7. Dual SVM with Slack
8. Primal slack
9. K-Nearest Neighbours
10. K-Means Clustering
11. Spectral Clustering
12. Naive Bayes used for Classification
13. Naive Bayes with Sampling a Probability Distribution