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.

Podrobná bibliografie
Hlavní autor:	Das, Tirtha
Další autoři:	Quadria, Taufiq Hasan
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2024
Témata:	Material hardship Logistic regression Vector machine model Social equity Machine-learning Regression analysis > Data processing
On-line přístup:	http://hdl.handle.net/10361/22944

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