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.
Lecture 4 - Distance Functions | Slides
Lecture 5 - k-means clustering
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)
The homeworks of this course can be found at this repository.
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.