Storyhouse Ventures Project

Faculty Advisor: Prof. Manfred Keil

Project Description:

Create a predictive model for startup and founder likelihood, and startup and founder success using an enriched Storyhouse Ventures database. Students can use R or Python and use their preferred method of analysis (KNN, Clustering, Neural Networks/Decision Trees/etc.) in order to surface insights.