Saved in:
Bibliographic Details
Main Author: Al khatib, Abdullah
Format: Recurso digital
Language:English
Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.17127786
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866901093698502656
author Al khatib, Abdullah
author_facet Al khatib, Abdullah
contents <p>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.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17127786
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Machine Learning Analysis of Digital Financial Inclusion: Identifying Determinants, Barriers, and Sustainability Links
Al khatib, Abdullah
<p>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.</p>
title Machine Learning Analysis of Digital Financial Inclusion: Identifying Determinants, Barriers, and Sustainability Links
url https://doi.org/10.5281/zenodo.17127786