$11^{th}$ Place solution economic wealth index prediction.

Written by : Nken Allassan

About the problem

Granular information on economic well-being is extremely useful for governments, policy makers, and NGOs. But household surveys that
capture this kind of information are expensive and conducted infrequently in many African countries
For this competition we will attempt to create a workaround for this lack of data by building a model able to predict a measure
of wealth as measured in household surveys using readily available inputs.

Using data from 18 different countries collected at different times, you must correctly predict the cluster-level estimated wealth
measures found from surveys in 7 different countries not covered in the training data. A successful model could be useful for filling
in the gaps between  more expensive surveys.This model was able to place number 3 on the AIMS data science hackathon.