This project consists in predicting the degree of urbanisation of the state of Wisconsin on a 10 year period. The data available is a map of the State, where every pixel is 1 km^2. Each pixel contains information on the land in 2004. The goal is to predict the label of that pixel in 2014 without using external data sources generated after 2014
The requirements.txt file should list all Python libraries that this project
depends on, and they will be installed using:
pip install -r requirements.txt
The config.py lists all the local paths to the necessary data. If this code is
to run on any other machine, every data source listed on the file should be downloaded
and the paths changed accordingly.
Since the above condition might not be possible. I have included .html versions of
two of the .md markdowns, should the evaluator want to see cell outputs.