Lab notes for a data mining class in Lindner College of Business.
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1. R Basic
2. Explore and describe dataset
3. Linear Regression, Prediction, and Variable Selection
4. Logistic regression
5. Tree models
6. Other models (gam, neural net, lda, svm)
7. Unsupervised learning (cluster analysis, association rules)
8. Other topics


This set of lab notes for undergraduate and graduate data mining class is currently maintained by Feng Mai ( Many materials are from Dr. Yan Yu's previous class notes.

Shaonan Tian, PhD
Chaojiang Wu, PhD