GitHub / Lefteris-Souflas / Election-Classification-and-Clustering-Analysis
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
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PURL: pkg:github/Lefteris-Souflas/Election-Classification-and-Clustering-Analysis
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: R
Size: 587 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: 5 months ago
Topics: agglomerative-algorithm, bootstrap-sampling, classification, clustering, cross-validation, data-cleaning, decision-tree, hierarchical-clustering, model-evaluation, model-interpretation, predictive-analytics, r, random-forest, silhouette-analysis, statistics, support-vector-machine, variable-importance