Advance Prediction And Classification Techniques

Below is a list of resources to understand advance prediction and classification techniques. Enjoy! :)

Neural network - http://www.data-miners.com/companion/Chapter7.ppt

Decision trees and Random Forest - http://www.cs.cmu.edu/~ggordon/10601/recitations/rec08/Rec08_Oct21.ppt

Principal Conponent Analysis (PCA) and Factor Analysis (FA) - http://sociology.about.com/od/Statistics/a/Factor-Analysis.htm

Gradient boosting method (GBM), same as regression! - http://en.m.wikipedia.org/wiki/Gradient_boosting#section_1

K nearest neighbor (KNN) - http://www.scholarpedia.org/article/K-nearest_neighbor

Least squares regression to lasso, ridge and elastic nets - http://www.stanford.edu/~hastie/Papers/B67.2%20(2005)%20301-320%20Zou%20&%20Hastie.pdf

Generalized additive model (GAM) - http://www.d.umn.edu/math/Technical%20Reports/Technical%20Reports%202007-/TR%202007-2008/TR_2008_8.pdf

Support vector machine (SVM) - http://docs.opencv.org/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.htm