Machine Learning Algorithms used to predict which candidate a county voted for based on 9 distinct attributes such as population size and density
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Updated
Dec 11, 2016 - C++
Machine Learning Algorithms used to predict which candidate a county voted for based on 9 distinct attributes such as population size and density
Highlighting abnormal voting patterns of the 2020 Presidential Election
DekutVote is a digital voting system that streamlines elections by eliminating the need for physical queues. Registered users can vote for their designated election positions, view live updates of all elections, and download results as PDFs. The app features two-step verification and logs all user activities.
A GraphQL & REST powered API written with typescript. It is an application based on the expressJS framework, for managing multiple voting sessions or elections.
Decentralized voting system that tokenizes individual election contracts as immutable records when ended.
Angular 2 app that retrieves and displays Government Elected Officials based on a user's zip code.
Pre-processed election results for Wisconsin elections
Blue Ripple Politics Current Research
Analyzing different kinds of Lithuanian parliamentary election-related datasets 🗳
🗳️ Élection présidentielle française 2022
Election audit analysis using local election data and Python 3.7.6
一个用Go实现的轻量化分布式消息中间件。
Provides R script for a countdown-to-election graphical comparison of dis/approval for Trump and the twelve previous incumbencies. Calibrates t=0 on the date of the re-election attempt and shows data from four years prior through inauguration day.
This Python program verifies if a prospective voter is eligible to vote.
New York State local election data in a tidy data frame
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