Machine Learning For Architects (KTE0086)

Machine Learning For Architects

Contents

1. Python (from biggening to advanced)

2. Linear Regression

3. Polynomial Regression

4. Locally weighted Regression

5. K-Neighbors Classifier (KNN)

6. Decision Tree

7. Random Forest

8. Naïve Bayse

9. Support Vector Machine (SVM)

10. Logistic Regression

11. Soft-max Classifier

12. Artificial Neural Network (ANN)

13. K Means

14. K Mode

15. K Means ++

16. K medoids

17. Dimensionality Reduction

18. Fuzzy Clustering

19. Hierarchical Clustering

20. DBSCAN

21. Anomaly Detection (PCA)

22. Advanced Optimization Methods

23. Regularization (Overfitting)

24. Covariance

25. Correlation