Career Prediction using Machine Learning Algorithms
Career Prediction using Machine Learning Algorithms
复制标题
使用机器学习算法进行职业预测
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Shikha Sehrawat
中科院分区：
文献类型：
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作者：
Anmol Baroliy;N. Shakya;A. Dwivedi;Shikha Sehrawat
当前位置选择职业是学生和他们的父母的一个重要而又困惑的决定。随着大量的职业选择及其细分可在专业线，有很大的可能性选择和实施错误的选择根据学生的教育和个人特质，这可能会导致不愉快和紧张的生活。因此，在合适的年龄为学生选择正确的职业道路对他们的生活非常重要。本文主要研究计算机科学领域考生的职业领域预测。该系统是名为EduSys的网络应用程序的一部分。这是在学习模块系统的问答部分的计算机科学工程师。这些类型的职业推荐系统帮助学生根据他/她的表现和学习成绩选择工作角色。该测验是基于学术和个人特质设计的，共有36个参数，这有助于通过使用不同算法的机器学习分析向学生建议未来的职业道路。
: Selecting a career profession is one of the important yet confusing decision for the students and their parents. With the plenty of career options and its sub-divisions available in the professional line, there is a high possibility of choosing and implementing a wrong choice according to the educational and personal traits of the student, which can lead to unhappy and stressful life. So, choosing a right career path for the student at the right age is very important for their lives. This paper mainly concentrates on the career area prediction of computer science domain candidates. This system is a part of a web application called EduSys. It is in learning module system’s quiz section for Computer Science Engineers. These kinds of career recommender systems help students in picking the job role based on his/her performance and academic records. The quiz is designed based on the academic as well as personal traits having 36 parameters in total, which helps in suggesting the future career paths to students through machine learning analysis using different algorithms.