Tools and Techniques for Data Mining and Applications

Boston University CS591

This repo holds the materials, lectures and scripts for the Boston University course "Tools and Techniques for Data Mining and Applications". You can find more information about the course here.

Lectures

Lecture 1 - Intro to Python

Lecture 2 - Getting Started

Lecture 3 - Pandas

Lecture 4 - Distance Functions | Slides

Lecture 5 - k-means clustering

Lecture 6 - Clustering

Lecture 7 - SVD | Slides

Lecture 8 - SVD in practice

Lecture 9 - Other clustering algorithms | [Hierarchical-Slides] (https://github.com/dataminingapp/dataminingapp-lectures/blob/master/Lecture-9/hierarchical.pdf?raw=true) | [Density-slides] (https://github.com/dataminingapp/dataminingapp-lectures/blob/master/Lecture-9/density-based-clustering.pdf?raw=true)

Lecture 10 - Web scraping slides

Lecture 11 - Classification | [Slides] (https://github.com/dataminingapp/dataminingapp-lectures/blob/master/Lecture-11/evaluation.pdf?raw=true)

Lecture 12 - Linear Regression

Lecture 13 - Logistic Regression

Lecture 14 - SVM-Boosting | [Slides] (https://github.com/dataminingapp/dataminingapp-lectures/blob/master/Lecture-14/svm-boosting.pdf?raw=true)

Lecture 15 - Text Analysis and Topic Modeling

Lecture 16 - Introduction to graph analysis

Lecture 17 - Introduction to graph analysis

Lecture 18 - Node Centralities | [Centrality-slides] (https://github.com/dataminingapp/dataminingapp-lectures/blob/master/Lecture-18/Centrality-Measures.pdf?raw=true)

Lecture 19 - Network Visualization

Lecture 20 - Community detection | [Cuts-slides] (https://github.com/dataminingapp/dataminingapp-lectures/blob/master/Lecture-20/cuts.pdf?raw=t\ rue)

Homeworks

The homeworks of this course can be found at this repository.

License

Copyright (C) 2015 Evimaria Terzi [email protected]

Copyright (C) 2015 Charalampos Mavroforakis [email protected]

Except where otherwise noted, both the instructional material and the code in this repository are licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

You must attribute this work by copying the text above. Where practical, you must also include a hyperlink to https://github.com/dataminingapp/dataminingapp-lectures

Additionally, except where otherwise noted, the Python code included in this repository is distributed under the terms of the MIT license (http://opensource.org/licenses/mit-license.html). A copy of this license is provided inside the MIT-LICENSE file.

For attributions, see the file ATTRIBUTIONS in this directory.