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

机译:使用机器学习算法预测和提高大学生的创业能力

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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, Naïve Bayes, Support Vector Machine, Decision Trees, Random Forests, and K-Means Clustering.
机译:印度政府多年来一直在全国范围内促进企业家精神,但是大多数印度年轻人不愿意开始创业。我们的目标是预测大学生缺乏创业能力的原因,并提出可能的方法以改善这一现状。我们进行了一项分析,以确定与企业家精神相关的不同人格特征之间的相关性,还将学生分为不同的群体,并使用从印度各地198名大学生那里收集的数据从该分析中提取信息。我们已经使用了多种机器学习算法,例如k-NN,逻辑回归,朴素贝叶斯,支持向量机,决策树,随机森林和K均值聚类。

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