mtyszler/LivingIncomeAnalysis

Repository for Analysis of Living Income in Ghana and Côte d'Ivoire, Cocoa Belt # LIVING INCOME ANALYSIS: a machine learning approach ## predicting if farmers reach the Living Income Benchmark in Ghana and Cotê d'Ivoire [Last update 19/09/2020] In this repo I use previous data from a larger project to develop a Machine Learning model to predict if farmers reach the living income benchmark value. The key files in this repo are: * LivingIncomeAnalysis.ipynb : notebook where I wrangle the data, compute indicators and analyze whether farmers reach a living income * LivingIncome_MachineLearning.ipynb : notebook where I tune and fit the machine learning model # Blog post: A blog post about the findings from this analysis can be found at Medium ### Author Marcelo Tyszler. KIT Royal Tropical Institute, Netherlands. m.tyszler@kit.nl ## License This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit creativecommons.org.