Machine Learning Analysis of Digital Financial Inclusion: Identifying Determinants, Barriers, and Sustainability Links
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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-15
- DOI
- https://doi.org/10.5281/zenodo.17127786
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00