/Understanding_AfD_electoral_success

A data set and an AI analysis of the electoral success of Germany's right wing party AfD including a Random Forest based machine learning approach.

Primary LanguageJupyter Notebook

Understanding_AfD_electoral_success

This project intends to shed some light on the recent electoral success of Germany's right wing party Alternative für Deutschland (Alternative for Germany, AfD) through an empirical approach. This should be done by:

  1. Collect data on a regional (county or city level)
  2. Merge those data in one database
  3. Merge with data on AfD's electoral success on a regional basis
  4. Highlight an graphically analyze correlations
  5. Apply machine learning regression analysis to uncover the main drivers of AfD's success.

To start with, the code will be supplied in Python. However, the project is not limited to this software package.