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Predictive Modeling for House of Representatives’ Voting. Won Best College Hack at defhacks Seattle on March 25th 2018.

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legislation-defhacks/legislation-defhacks.github.io

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legislation-defhacks

Team Members

  • Nicole Riley
  • Karishma Mandyam
  • Sasha Klezovich

Page

https://legislation-defhacks.github.io/

Purpose

This project is for defhacks at Seattle on March 24th - 25th. Our goal is to visualize predictions for votes on bills in Congress. These predications are based on past voting patterns based on bill subjects and party affiliations.

Sources

Some materials, tools, and people that we relied on were Bootstrap, d3, Mike Bostock, https://github.com/unitedstates/congress, http://scikit-learn.org.

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Predictive Modeling for House of Representatives’ Voting. Won Best College Hack at defhacks Seattle on March 25th 2018.

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