Math 170-5 Fall 2006

b. Regression including: linear regression, multiple regression, and multivariate regression models, decision tree for regression such as Bagging, Random Forest, Boosting, and also Support Vector Regression (SVR). c. Unsupervised techniques including: the Principle Component Analysis (PCA), K-Means Clustering, and Hierarchical Clustering. ................
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