In the German blog post, I analyze voting patterns of German parliament members using machine learning techniques. By encoding votes as numerical vectors (Yes=1, No=-1, Abstention=0), I apply PCA and t-SNE dimensionality reduction to visualize political clustering, revealing clear faction groupings and identifying potential party outliers in the Bundestag.