A thesis on utilizing machine learning models to predict material hardship

A thesis on utilizing machine learning models to predict material hardship

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Applied Economics, 2023.

Detalles Bibliográficos
Autor Principal: Das, Tirtha
Outros autores: Quadria, Taufiq Hasan
Formato: Thesis
Idioma:English
Publicado: Brac University 2024
Subjects:
Material hardship
Logistic regression
Vector machine model
Social equity
Machine-learning
Regression analysis > Data processing
Acceso en liña:http://hdl.handle.net/10361/22944
Descripción
Summary:This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Applied Economics, 2023.

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