| Topic | Materials |
| Association Rule Mining | [ Slides (pptx) ] [ Slides (pdf) ] |
| Assignment 1: Association Rule Mining | [ Assignment (pdf) ] [ Data (text) ] |
| Supervised Learning, Linear Regression, kNN Classification | [ Slides (pptx) ] [ Slides (pdf) ] |
| Naïve Bayes Classification | [ Slides (pptx) ] [ Slides (pdf) ] |
| R | [ Slides (pptx) ] [ Slides (pdf) ] |
| kNN using R | [ kNN using R (R file) ] [ Sample house data (txt) ] |
| Decision Tree | [ Slides (pptx) ] [ Slides (pdf) ] |
| Assignment 2: R, cross validation and Naive Bayes | [ Assignment (pdf) ] |
| Linear Discriminant Analysis | [ Slides (pptx) ] [ Slides (pdf) ] |
| Logistic Regression | [ Slides (pptx) ] [ Slides (pdf) ] |
| High Dimensional Search | [ Slides (pptx) ] [ Slides (pdf) ] |
| Basics of search | [ Slides (pptx) ] [ Slides (pdf) ] |
| PageRank | [ Slides (pptx) ] [ Slides (pdf) ] |
| Support Vector Machine | [ Slides (pptx) ] [ Slides (pdf) ] |
| MapReduce | [ Slides (pptx) ] [ Slides (pdf) ] |
| Social Network Graph Mining | [ Slides (pptx) ] [ Slides (pdf) ] |
| Streaming Data Mining | [ Slides (pptx) ] [ Slides (pdf) ] |