Analytics of the 2019 UK general election
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Updated
Jan 2, 2021 - JavaScript
Analytics of the 2019 UK general election
Winner code for competition for prediction of general election 2018 of Pakistan.
Predicting election results by county for the 2016 US general election with machine learning in R.
Code and Data used for the HPR's 2020 Presidential Election Forecast
A Keras model to predict who will win Donald Trump or Hillary Clinton
KPM-1: pre-registered, hash-verified UK election predictions. SHA-256 committed before voting opened. 65,000-persona synthetic panel; 136 councils. Falsifiable forecast, not retro-explained.
Predicting Elections Using GAMs and Post-Stratification
Code, data, and figures used in my GOV 1347 Election Analytics Blog posts for the 2020 Presidential Election.
The four-project Kronaxis research stack: DYNAMICS-8 framework → Panel Studio engine → KPM-1 public proof → Kronaxis Router infrastructure. One README, four entry points.
Machine Learning model to predict Nepal Federal Election results using Random Forest and Monte Carlo simulation
Used the Florida Central Voter File to predict the outcome of the midterm election using statistical methods
A prediction of the Nigeria presidential election winner using social media data (Twitter).
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