Below is a selection of academic papers that I wrote during graduate school. These are intended to demonstrate knowledge on how specific machine learning algorithms can be used to address real problems with readily available data. More examples are available upon request! If you have any questions about any of these projects, do not hesitate to reach out. Cheers!
Linear Regression Analysis of DC Bike Share Data
Classification Models to Predict Housing Market Categories by Census Block Group
Using Clustering Models to Identify Housing Market Categories by Census Block Group
Association Rule Mining to Congressional Voting Patterns
Convolutional Neural Network to Classify Vacant Homes in Baltimore From Google Street View Images