基于职业的数据科学预测创业技能

Dhvani M Vaidya, Akshit J. Dhruv
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引用次数: 1

摘要

其主要目的是使人们能够发现特定工作/专业或企业所需的创业技能。人们经常发现,即使有职位空缺,也很难找到工作,或者新的创业公司和企业往往在短期内不成功。我们分析了这个问题,发现问题在于人们/学生缺乏一定的创业技能,或者他们没有意识到这些技能。所以我们通过创建一个模型来解决这个问题,在人工智能和数据科学的帮助下,机器学习将有助于预测基于工作/专业或业务的技能。这将有助于减少失业和维护商业稳定,因为人们将了解执行特定工作或经营企业所需的技能。我们使用了多输出模型,以及SVM(支持向量机)机器学习模型进行预测。运用该模型对职业技能进行预测的准确率达到98.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-science to predict Entrepreneurial Skills based on Profession
The main aim is to enable people to discover the entrepreneurial skill needed for a specific job/profession or business. As often people are found having issues getting jobs even when there is a vacancy, or new startups and businesses tend to be unsuccessful in the short run. We analyzed this problem and found that the problem is, people/students are lacking certain entrepreneurial skills, or they aren’t aware of those skills. So we found the resolution to this problem by creating a model, with the help of AI and data science, and ML which will help to predict skills based on job/profession or business. This will help to reduce unemployment and uphold business stability as people will get to know what skills they require to execute a particular job or run a business. We have used the multi-output model, and SVM(Support Vector Machine) machine learning model for prediction. Using the model we got the accuracy of 98.7% in predicting the skills based on profession.
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