Data Mining — CSE 40647/60647 — Fall 2014

This repository contains the code snippets that were covered in Data Mining (CSE 40647/60647) at the University of Notre Dame. While these files are hosted here, we will be utilizing IPython Notebook Viewer (NBViewer) to display the IPython Notebooks.

Name		Name	Last commit message	Last commit date
Latest commit History 270 Commits
01 - IPython Notebook Demo.ipynb		01 - IPython Notebook Demo.ipynb
02.1 - Collaborative Filtering.ipynb		02.1 - Collaborative Filtering.ipynb
02.2 - Movie Rating.ipynb		02.2 - Movie Rating.ipynb
04 - Summary Statistics and Basic Plotting.ipynb		04 - Summary Statistics and Basic Plotting.ipynb
05 - Baby Names.ipynb		05 - Baby Names.ipynb
06 - Working With Missing Data.ipynb		06 - Working With Missing Data.ipynb
07 - Data Transformation.ipynb		07 - Data Transformation.ipynb
08 - Dimensionality Reduction.ipynb		08 - Dimensionality Reduction.ipynb
10 - Apriori.ipynb		10 - Apriori.ipynb
11 - FP-Growth.ipynb		11 - FP-Growth.ipynb
12 - k-means Clustering.ipynb		12 - k-means Clustering.ipynb
13 - Hierarchical Clustering.ipynb		13 - Hierarchical Clustering.ipynb
18 - KNN.ipynb		18 - KNN.ipynb
23 - Decision Trees.ipynb		23 - Decision Trees.ipynb
27 - Evaluating Classifiers.ipynb		27 - Evaluating Classifiers.ipynb
30 - Boosting.ipynb		30 - Boosting.ipynb
31 - Decision Tree Ensembles.ipynb		31 - Decision Tree Ensembles.ipynb
32 - Stacking & Blending.ipynb		32 - Stacking & Blending.ipynb
33 - Artificial Neural Networks.ipynb		33 - Artificial Neural Networks.ipynb
README.md		README.md

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Data Mining — CSE 40647/60647 — Fall 2014

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