# ds-modules/LEGALST-190

Data, Prediction, and Law
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# LEGALST-190

## Data, Prediction, and Law

### Professor: Jon Marshall

#### Developer Team: Keeley Takimoto, Tian Qin, Gibson Chu, Jason Jiang, Keiko Kamei, Tina Nguyen

Labs, Problem Sets, and data for LEGALST-190: Data, Prediction, and Law.

Data, Prediction, and Law is a new Legal Studies seminar that allows students to explore different data sources that scholars and government officials use to make generalizations and predictions in the realm of law. The course will also introduce critiques of predictive techniques in law. Students will apply the statistical and Python programming skills from Foundations of Data Science to examine a traditional social science dataset, “big data” related to law, and legal text data.

Lab Date Summary Data Interact Link
1-18-18 Python, Jupyter, Tables NCVS Incident-Record-Type https://bit.ly/2sBzhhy
1-23-18 Table operations, Scatter Plots, Histograms, Probability NCVS https://bit.ly/2Jegu2Q
1-25-18 Empirical Distributions and Hypothesis Testing NCVS https://bit.ly/2LXzQeC
1-30-18 Bootstrap and Confidence Intervals American National Elections Study (ANES) 2016 Election https://bit.ly/2kMgtsA
2-6-18 Intro to Folium us-states.json https://bit.ly/2JaYjv3
2-8-18 Folium: Choropleth Maps us-states.json, US Unemployment October 2012 https://bit.ly/2kOXbmt
2-13-18 Folium: Heat Maps us-states.json, US Unemployment October 2012 https://bit.ly/2JvtVie
2-15-18 Folium plugins: Search and Draw us-states.json, US Unemployment October 2012 https://bit.ly/2LUJQFw
2-20-18 Intro to Numpy and Scipy: numerical operations None https://bit.ly/2LiXxgd
2-22-18 Intro to Regression and the Test-Train-Validation Split Bike Sharing https://bit.ly/2xBC4NG
2-27-18 Model Selection and Cross Validation Bike Sharing https://bit.ly/2xDKFiF
3-1-18 Text Preprocessing : Stemming, Chunking, Tokenizing UN General Assembly Transcripts https://bit.ly/2sEdPZc
3-6-18 Introduction to Text Analysis : Document-Term Matrix UN General Assembly Transcript https://bit.ly/2J8nfre
3-13-18 Web Scraping and XML Parsing Old Bailey Online Corpus https://bit.ly/2LgDleW
3-15-18 Regular Expressions Old Bailey Online Corpus https://bit.ly/2sszsN4
3-20-18 TF-IDF and Classification: Naive Bayes, Multinomial Logistic, SVM Stack Exchange Queries https://bit.ly/2syOyj2
3-22-18 Exploratory Data Analysis: Feature Extraction, Visualizations, PCA 2016 US Presidential Campaign Speeches https://bit.ly/2kMh1ic
4-3-18 Neural Nets: Multi-Layered Perceptron, Convolutional Neural Netowkrs MNIST https://bit.ly/2J491aC
4-5-18 Word2Vec and Word Embeddings UN General Debate Transcripts https://bit.ly/2kJxHXn
4-10-18 Topic Modeling: Latent Dirichlet Analysis in Gensim and Scikit-learn UN General Debate Transcripts https://bit.ly/2xBEzQ4
4-12-18 Text Analysis: Sentiment, Morality, Non-Negative Matric Factorization Old Bailey Online Corpus https://bit.ly/2JdMNPF
4-17-18 Feature Selection Bike Sharing https://bit.ly/2Hjso9U
4-19-18 Decision Trees and Ensemble Methods Bike Sharing https://bit.ly/2xDvSEV
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