CS505-Computational-Tools-for-Data-Science

Repository for CS 505 as taught Fall 2016 in BU Computer Science

Name		Name	Last commit message	Last commit date
Latest commit History 164 Commits
Old		Old
data		data
figs		figs
01-Intro-to-Python.ipynb		01-Intro-to-Python.ipynb
01-Intro-to-Python.pdf		01-Intro-to-Python.pdf
02A-Getting-Started.ipynb		02A-Getting-Started.ipynb
02A-Getting-Started.pdf		02A-Getting-Started.pdf
02B-Pandas.ipynb		02B-Pandas.ipynb
02B-Pandas.pdf		02B-Pandas.pdf
03-Probability-and-Statistics-Refresher.ipynb		03-Probability-and-Statistics-Refresher.ipynb
03-Probability-and-Statistics-Refresher.pdf		03-Probability-and-Statistics-Refresher.pdf
04-Linear-Algebra-Refresher.ipynb		04-Linear-Algebra-Refresher.ipynb
04-Linear-Algebra-Refresher.pdf		04-Linear-Algebra-Refresher.pdf
05-Distances-Timeseries.ipynb		05-Distances-Timeseries.ipynb
05-Distances-Timeseries.pdf		05-Distances-Timeseries.pdf
06A-Clustering-Overview.ipynb		06A-Clustering-Overview.ipynb
06A-Clustering-Overview.pdf		06A-Clustering-Overview.pdf
06B-Kmeans.pdf		06B-Kmeans.pdf
07-Clustering-II.ipynb		07-Clustering-II.ipynb
07-Clustering-II.pdf		07-Clustering-II.pdf
08A-Clustering-III-Hierarchical.pdf		08A-Clustering-III-Hierarchical.pdf
08B-Clustering-III.ipynb		08B-Clustering-III.ipynb
08B-Clustering-III.pdf		08B-Clustering-III.pdf
08C-Hierarchical-Example.pdf		08C-Hierarchical-Example.pdf
09-Clustering-IV-GMM-EM.ipynb		09-Clustering-IV-GMM-EM.ipynb
09-Clustering-IV-GMM-EM.pdf		09-Clustering-IV-GMM-EM.pdf
10-Low-Rank-and-SVD.ipynb		10-Low-Rank-and-SVD.ipynb
10-Low-Rank-and-SVD.pdf		10-Low-Rank-and-SVD.pdf
11-Dimensionality-Reduction-SVD-II.ipynb		11-Dimensionality-Reduction-SVD-II.ipynb
11-Dimensionality-Reduction-SVD-II.pdf		11-Dimensionality-Reduction-SVD-II.pdf
12-Anomaly-Detection-SVD-III.ipynb		12-Anomaly-Detection-SVD-III.ipynb
12-Anomaly-Detection-SVD-III.pdf		12-Anomaly-Detection-SVD-III.pdf
13-Web-Scraping.pdf		13-Web-Scraping.pdf
14-Classification-Decision-Trees.pdf		14-Classification-Decision-Trees.pdf
15A-Classification-II-kNN.pdf		15A-Classification-II-kNN.pdf
15B-Classification-II-Demo.ipynb		15B-Classification-II-Demo.ipynb
15B-Classification-II-Demo.pdf		15B-Classification-II-Demo.pdf
16A-Classification-III-NB-SVM.pdf		16A-Classification-III-NB-SVM.pdf
16B-Classification-III-Random-Projection.ipynb		16B-Classification-III-Random-Projection.ipynb
16C-Classification-III-SVM-Demo.ipynb		16C-Classification-III-SVM-Demo.ipynb
16C-Classification-III-SVM-Demo.pdf		16C-Classification-III-SVM-Demo.pdf
17-Regression-I-Linear.ipynb		17-Regression-I-Linear.ipynb
17-Regression-I-Linear.pdf		17-Regression-I-Linear.pdf
18-Regression-II-Logistic.ipynb		18-Regression-II-Logistic.ipynb
18-Regression-II-Logistic.pdf		18-Regression-II-Logistic.pdf
19-Regression-III-More-Linear.ipynb		19-Regression-III-More-Linear.ipynb
19-Regression-III-More-Linear.pdf		19-Regression-III-More-Linear.pdf
20-Recommender-Systems-Edited.pdf		20-Recommender-Systems-Edited.pdf
20-Recommender-Systems.pdf		20-Recommender-Systems.pdf
21A-MapReduce.pdf		21A-MapReduce.pdf
21B-MapReduce-Demo.ipynb		21B-MapReduce-Demo.ipynb
22A-Networks-I-Intro-Edited.pdf		22A-Networks-I-Intro-Edited.pdf
22A-Networks-I-Intro.pdf		22A-Networks-I-Intro.pdf
22B-Networks-I-Intro-Demo.ipynb		22B-Networks-I-Intro-Demo.ipynb
22B-Networks-I-Intro-Demo.pdf		22B-Networks-I-Intro-Demo.pdf
23-Networks-II-Centrality.ipynb		23-Networks-II-Centrality.ipynb
23-Networks-II-Centrality.pdf		23-Networks-II-Centrality.pdf
24-Networks-III-Clustering.ipynb		24-Networks-III-Clustering.ipynb
24-Networks-III-Clustering.pdf		24-Networks-III-Clustering.pdf
25-Networks-MapReduce.pdf		25-Networks-MapReduce.pdf
CS505FinalProject-Fall2016.pdf		CS505FinalProject-Fall2016.pdf
Makefile		Makefile
README.md		README.md
git-staging-area.png		git-staging-area.png
laUtilities.py		laUtilities.py
slideUtilities.py		slideUtilities.py
stripHiddenCode.py		stripHiddenCode.py
syllabus.pdf		syllabus.pdf
syllabus.tex		syllabus.tex

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