Predicting and Improving Entrepreneurial Competency in University Students using Machine Learning Algorithms

The Indian Government has been promoting entrepreneurship on a nation-wide scale for many years, yet a majority of the Indian youth doesn't prefer to start their venture. Our objective is to predict the cause behind the lack of Entrepreneurial Competency in university students and suggest potential measures to improve the same. We performed an analysis to identify a correlation between the different personality traits associated with Entrepreneurship and also cluster students into different groups and extract information from this analysis using data collected from 198 university students from across India. We have used several Machine Learning algorithms like k-NN, Logistic Regression, Naive Bayes, Support Vector Machine, Decision Trees, Random Forests, and K-Means Clustering.