Analysis + Scripting: Predicting Local Experience after the Great Recession

In my Data Science course at General Assembly in 2016 my final project focused on evaluating and predicting how long it would take for any locality to return to pre-recession unemployment after the great recession. I used python, including the pandas, sci-kit learn, matplot-lib and seaborn libraries to produce this analysis.