Homework for NYU CUSP class: Machine Learning
This course covered:
- decision trees
- random forests
- ensemble methods (stacking, boosting, bagging, random forests)
- Support vector machines (SVMs)
- Bayesian methods
- clustering methods (k-means, hierarchical)
- Bayesian networks
- Gaussian Processes
- anomaly detection methods