Skip to content

mnm9/Clustering_Survey_Data

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 

Repository files navigation

Clustering of Malnutrition and Socio-Economic Factors

The code was written in Scala on Spark for a Graduate Course in Big Data Analytics at the University of Toronto in Apr 2018. It was originally written in Zeppelin Notebook on Datascientist Workbench. The goal of the project was to perform data exploration and apply machine learning techniques on Malnutrition Suvery Data collected by Demographic and Health Survey (DHS).

Dataset

Malnutrition datasets from all available countries between 2008-2018 were downloaded from: https://dhsprogram.com/Data/

Releases

No releases published

Packages

No packages published

Languages