Welcome! This is what we are trying to do:
1.- Build an automated bot-scraper on AWS updating daily Chile`s house of representatives open data founded on https://www.camara.cl
2.- Understand how each representative vote throw out the different periods of time (2010-2017) with some analytical methods and libraries in Python
3.- Build some useful and amazing visualizations using SVG and D3.js
4.- Create a ML prediction model. Hopefully reaching at least a 90% accuracy
5.- Test and improve the model daily with new information coming
felipeares/la-camara
¿Can we predict a representative's vote on a certain law with an accuracy grater than 90%?
Python