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Start Over Area of Honors Data Sciences

1. A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data

open_access
Open Access
Author:
Gault, William
Title:
A Comparative Analysis on the Ability of Machine Learning Models to Create a Housing Price Index Using Integrated New York City Housing and School Performance Data
Area of Honors:
Data Sciences
Keywords:
Data Science
Machine Learning
Feature Engineering
Linear Regression
Neural Network
File:
Download William_Gault_Thesis.pdf
Thesis Supervisors:
John Yen, Thesis Supervisor
John Yen, Thesis Honors Advisor
Suhang Wang, Faculty Reader

5. Predicting Corporate Defaults Using Machine Learning and Microeconomic Data

open_access
Open Access
Author:
Ahuja, Neil S
Title:
Predicting Corporate Defaults Using Machine Learning and Microeconomic Data
Area of Honors:
Data Sciences
Keywords:
Corporate Default
Microeconomic Data
Consumer Credit Data
Economic Health
Corporate Stress
Default Prediction
File:
Download Predicting_Corporate_Defaults_Using_Machine_Learning_and_Microeconomic_Data.pdf
Thesis Supervisors:
Sarah Michele Rajtmajer, Thesis Supervisor
John Yen, Thesis Honors Advisor

7. Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers

open_access
Open Access
Author:
Rendar, Sean
Title:
Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers
Area of Honors:
Data Sciences
Keywords:
Machine Learning
Deep Learning
Injury Prediction
Ulnar Collateral Ligament
Major League Baseball
File:
Download Rendar_Sean_Predicting_Ulnar_Collateral_Ligament_Injury_in_Rookie_Major_League_Baseball_Pitchers.pdf
Thesis Supervisors:
Fenglong Ma, Thesis Supervisor
John Yen, Thesis Honors Advisor