This repository contains the solution built for the level 2 challenge of "EY Open Science Data Challenge" in 2023. With the model presented here, I was able to achieve the 2nd place in Brazil local competition. The challenge's goal was to build a regression model to predict rice production in certain areas of Vietnam.
Before running the notebook with the model training, follow the steps:
git clone https://github.com/luisgustavob78/challenge2EY2023.
Run pip install requirements.txt.
In your Jupyter Notebook, you can do:
!pip install requirements.txt.
You can find more infos about how this year competion was in the following link: https://www.ey.com/pt_br/open-science-challenge .