Quantitative Research Analysis on Unemployment Rate in the U.S.

1. Conducted econometrics analysis(heteroskedasticity, multicollinearity analysis, OLS estimation and regression analyses) to interpret how different factors correlate with unemployment data.
2. Used R language to test various Machine Learning models include linear regression, logistic regression and polynomial regression to find the best model.

Presentation link: https://github.com/evajryang/Econometrics-analysis/blob/main/presentation/Econometrics Final Project Presentation.pdf