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Modeling and predictive analysis on the likelihood of a coup d'etat within a country, given economic, political and social factors.
Utilizing a remote database and building a logistic regression model to figure out the likelihood of a passenger's survival on the Titanic.
Builing a model to better predict when and where in Chicago captured mosquitos will have the West Nile virus.
Using Principal Component Analysis to understand the behavior of individual airport operations that lead to flight cancellations and delays.
Using a linear regression model to predict liquor sales across counties in Iowa.
Collecting data by scraping a website and then building a binary predictor with Logistic Regression to predict salary for data scientists in the U.S.
Business plan for a social enterprise with the potential to double the income of the poor in crowed urban spaces
A collection of relevant projects conducted in both college and graduate school