[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
A blog post about the findings from this analysis can be found at Medium
Marcelo Tyszler. KIT Royal Tropical Institute, Netherlands. [email protected]
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/.