The repository is for my statistical learning class project. It will contain code to generate the datasets, and then apply several machine learning algorithms to it.

The first data set that I will be using for this project is The Supreme Court Database. They provide several different formats of the data for download but what I really need is the data in an relational database. So I have written functions to parse the csv files and store them in a relational database.

The second data set I will be using for this project is argument transcripts scraped from Oyez. To this end I have written a webcrawler using scrapy to crawl the site and add the data to the relational database.

TODO: Make a database of opinions.

There are a variety of utilities that I have written as part of this project.

Because populating my relational database takes some time I have created a build class that allows me to incrementally build up my database without reprocessing data unnecessarily.

I will eventually attempt to use this data to train machine learning algorithms to automatically summarize the opinions, among other things as data completeness and time permit.