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Entrepreneurs' Prediction Using Machine Learning Algorithms

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dc.contributor.author Uz Zaman, Farid
dc.date.accessioned 2023-03-05T03:20:34Z
dc.date.available 2023-03-05T03:20:34Z
dc.date.issued 23-01-18
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/9816
dc.description.abstract From the beginning of the world, entrepreneurs are deeply involved in every sector of our life. The important component is that entrepreneurs are the primary riding pressure of the worldwide economy. This research focuses on the personality traits and entrepreneurship skills of students. With the help of machine learning algorithms implemented in WEKA, I tried to match up personality traits and entrepreneurship skills. I tried to find out the level of actual entrepreneurs’ skills. I have collected data from 408 volunteers who agreed to give data on their concerns. I have collected these data in two ways and there are two types of data. One is ‘The Big Five Personality Test’ made by the IPIP organization which is to check personality traits. Another one is the Entrepreneurial Self-Assessment survey and it is based on some personal information. The data are taken from various regions of Bangladesh. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Entrepreneurship en_US
dc.subject Algorithms en_US
dc.title Entrepreneurs' Prediction Using Machine Learning Algorithms en_US
dc.type Thesis en_US


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