Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information
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Nov 21, 2022 - Jupyter Notebook
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poverty-prediction
Here are 7 public repositories matching this topic...
Data and code repository from "Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data"
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Dec 10, 2022 - Jupyter Notebook
poverty prediction and analysis
data-science machine-learning deep-neural-networks data-visualization python3 kaggle-competition tableau feature-engineering sentimental-analysis costa-rica kears scikit-learn-python poverty-prediction
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Dec 23, 2018 - Jupyter Notebook
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Nov 22, 2024
Satellitix is a web-based application that provide predictions of the Persentase Penduduk Miskin (P0) based on satellite imagery using the deep learning method in Central Java
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Jul 23, 2023 - Python
This project adapts the LAC microsimulation model to SAR countries by differentiating labor market changes by skill level and translating income changes into consumption impacts to forecast country-level poverty, inequality, and other distributive indicators.
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Jun 26, 2025 - Stata
Analisando dados da PNAD Contínua para descobrir a proporção, o hiato e a severidade da pobreza infantil no Brasil
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Mar 9, 2022 - R
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