FINAL PROJECT DUE DEC 14 AT 6PM.
Lecture 1. September 6
Lecture 2. Intro to R
Lecture 3. Partial Least Squares.
Code for splines homework.
Lecture 4. Linear Classifiers.
New Jersey Census Data.
Lecture 6. Dimension Reduction.
Project II descriptions
Project II datasets. All the datasets are included
in this zip file
Lecture 8. Multivariate function estimation. PPR, MARS for classification and regression.
Lecture 9 and 10. Classification and Trees. Boosting, bagging. Random Forest. Data Mining Trees: ARF
Lecture 11. ANN and SVM
New! Updated ARF package.
Web Software for Data Anaysis
Free Software: R for
windows: For binaries click here
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