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Following is a list of our units, slides will be posted here, when available.
| Unit | Title | Slides | HW |
| 1 | Intro to Data Mining | Topic 1-DMIntro.ppt | HW1.html Solution |
| 2 | EDA/Visualization Tools | Topic 2-EDAViz.ppt | HW2.html Solution |
| 3 | Data Mining Concepts | Topic3-DMConcepts | |
| 4 | Regression | Topic4.1-RegressionZorych.pdf Topic4.2-RegressionVolinsky.ppt | |
| 5 | Classification | Topic5.1-ClassificationMadigan.pdf Topic5.2-ClassificationVolinsky.ppt | HW3.html Solution |
| 6 | Clustering and Unsupervised Learning | Topic6-Clustering.ppt Topic6.2-ClusteringExample.ppt | |
| 7 | Text Mining | Topic7-TextMining.ppt | |
| Midterm | Sample Midterm Questions MidtermReview | Midterm Solutions R: Tree Code Class Data | |
| 8 | Web Mining | Topic8-WebMining.ppt | HW4.html Solution |
| 9 | Advanced Classification: SVM and Neural Nets | Topic9-AdvancedClassfication.ppt | HW5.pdf Solution |
| 10 | Ensemble Methods | Topic10-EnsembleMethods.ppt | |
| 11 | Bayesian Methods - Ken Shirley | Topic11-BayesianMethods.pdf | |
| 12 | Reccomender Systems and the Netflix Prize | Topic12-Recommender Systems / Netflix Prize | HW6.html Solution |
| 13 | Social and other Networks | Topic13-Networks | ExtraCreditHW.html Extra Credit Solution |
| 14 | Class Presentations | Term Project Notes | |
| 15 | Final Exam | Final Review | Final Answer Key |
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