Machine Learning Analysis of Digital Financial Inclusion: Identifying Determinants, Barriers, and Sustainability Links
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2025
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| _version_ | 1866901093698502656 |
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| 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 |