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 http://creativecommons.org/licenses/by-sa/4.0/.