Impeachment Prediction
This project objective was to use Machine Learning models to predict which legislative representative of Brazil would vote in favor or oppose to the impeachment of Brazilian ex-president Dilma Rousseff
The model was built using a Decision Forest model, and their inputs was the votes of multiple legislative acts of Brazilian legislative representative and some public news of representatives that reveleated their vote.
The model correctly predicted the outcome and also achieved a great accuracy in obtaining the number of total votes in favor and opposition.
To see more details, check the post: Data Science for predicting impeachment votes