CSCE 633
Machine Learning (Spring 2010)
due: Monday, May 10

Project 5
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The topic of you final project is up to you. Some suggestions are:

1) implement and test yet another classification algorithm we talked
about in class (e.g. NTgrowth, CN2, SVM), and compare it to all the others 

2) implement and test a method for feature selection (e.g. stepwise
forward selection, or PCA)

3) implement and test an ensemble classifier method like bagging or
boosting

4) collect a dataset of your own, apply all your learning algorithms
to it, and get the best performance you can

5) implement and test a reinforcement learning on some task you
define (might require building a simulator, e.g. inverted pendulum)


If you have questions about the appropriatenss of the project you 
want to do, or you want suggestions or guidance, please ask me.

The written report will count heavily for the final project, so make
sure you spend time doing interesting analysis of your results and
interpreting them.