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.

Bibliografische gegevens
Hoofdauteur:	Das, Tirtha
Andere auteurs:	Quadria, Taufiq Hasan
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Material hardship Logistic regression Vector machine model Social equity Machine-learning Regression analysis > Data processing
Online toegang:	http://hdl.handle.net/10361/22944

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