A Path to Random Forest


The usual ways of teaching machine learning involve static visualizations are do not give a good sense of the process of the algorithm. We sought to make it clearer and more engaging.


We created an interactive visualization that is available at https://waternova.github.io/random-forest-viz/. It uses animation and user interaction to improve learning outcomes. We presented a poster at InfoVis 2017: pdf


I led work on the visualization, while my partner led machine learning analysis.


d3.js, Python sklearn