Skip to content

Repository containing scripts to explore, train, and ultimately predict the voter proportions in each US county.

Notifications You must be signed in to change notification settings

Nesto17/2020_election_prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

2020 US Presidential Candidate Election

Predicting the proportion of voters who favored the Democratic party in each county (>2.3k counties)

Link to Kaggle competition Leaderboard score: 4th place (out of 80 competitors)

High level explanation of technologies and tools used in this project:

  1. tidymodels (parsnip, recipes, yardstick, tune, dials, workflowsets)
  2. stacks
  3. dplyr
  4. ggplot2
  5. ML models (cubist rule-based alg, xgboost, lightgbm, glm with elastic-net regularization, etc)

About

Repository containing scripts to explore, train, and ultimately predict the voter proportions in each US county.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages