This is the first monthly data challenge competition organised within Ekimetris. For this competition you will learn how to manipulate and model data from a tabular dataset, created from the open source dataset Forest Cover Type
This is not only a code competition where you compete to get the best possible score on a test dataset, but also an analytics one, where you can express your creativity by building a use case around the provided data
Problematic Overview
During the past century, global warming grew as one of the most challenging problems ever faced by human kind. Many initiative have been taken so far to slow down and reverse the trend, from governmental measures like carbon taxation, to private initiative to plat some new trees.
With this competition, you'll leverage a public dataset to learn to predict which kind of forest can be grown depending on several geologic informations, and build around this modelisation to create a full environnmental strategy designed to help private initiatives to optimize the effectivness of planting new trees.