Machine Learning Analysis of Digital Financial Inclusion: Identifying Determinants, Barriers, and Sustainability Links
Year: 2025
Type: article
Abstract: This is the first archived release of the data and code accompanying the paper: "Machine Learning Analysis of Digital Financial Inclusion: Identifying Determinants, Barriers, and Sustainability Links". This repository includes: - `analysis_script.py`: The Python script for all data processing, modeling, and visualization. - `cleaned_financial_inclusion_data.csv`: The anonymized survey dataset (n=148). - `requirements.txt`: A list of required Python libraries. The script can be run to replicate all tables and figures presented in the manuscript.
Author: Al khatib, Abdullah
Institution: Al-Sham Private University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: green
OpenAlex ID: W7081629708
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