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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

2. Studies of Linear and Deep-Neural Network (DNN) Models for Automated Short Answer Grading

open_access
Open Access
Author:
Tomar, Yajur
Title:
Studies of Linear and Deep-Neural Network (DNN) Models for Automated Short Answer Grading
Area of Honors:
Computer Science
Keywords:
ASAG
NLP
Neural Networks
Linear Models
Non-linear Models
Regular Expression Based Features
SemEval
AutoP
Feature Engineering
File:
Download Tomar_Yajur_Studies_of_Linear_and_Deep-Neural_Network__DNN__Models_for_Automated_Short_Answer_Grading.pdf
Thesis Supervisors:
Rui Zhang, Thesis Supervisor
John Joseph Hannan, Thesis Honors Advisor