tanush29/south-african-female-headed-households-prediction

Domain:

socioeconomic

Record type:

project

Creator:

tan

Host:

# south-african-female-headed-households-prediction The business objective is to build a predictive model that accurately estimates the percentage of households per ward in South Africa that are female-headed and living below a particular income threshold, by using data points that can be collected through other means without an intensive household survey. This solution can potentially reduce the cost and improve the accuracy of monitoring key population indicators such as female household headship and income level in between census years.

Visit

github.com

shreyasiyer11/Prediction-Model-for-Female-headed-households-in-South-Africa

# Prediction-Model-for-Female-headed-households-in-South-Africa The business objective is to build

Womxn in Big Data South Africa: Female-Headed Households in South Africa

A prediction challenge with prizes for the top three female data scientists
South Africa is divided into over 4,000 wards. We have aggregated the target indicator and the other predictive variables from the 2011 census across all the households within each

emms204/Womxn-in-Big-Data-South-Africa-Female-Headed-Households-in-South-Africa

South Africa is divided into over 4,000 wards. We have aggregated the target indicator and the other

nasirudeenraheem/Womxn-in-Big-Data-South-Africa-Female-Headed-Households-in-South-Africa

Female household headship has been on the rise in South Africa in recent years. Compared to male-hea

CalebEmelike/Womxn-in-Big-Data-South-Africa-Female-Headed-Households-in-South-Africa