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  • 标题:Project Domain Prediction Techniques Using Machine Learning
  • 本地全文:下载
  • 作者:Imana Azram ; L S Maurya
  • 期刊名称:Webology
  • 印刷版ISSN:1735-188X
  • 出版年度:2022
  • 卷号:19
  • 期号:2
  • 页码:4559-4579
  • 语种:English
  • 出版社:University of Tehran
  • 摘要:Machine Learning has surpassed every other technology in the previous several years, including artificial intelligence. You may be able to expand your horizons of thinking and develop some very outstanding real-world projects if you use Machine Learning techniques. Students’ chances of reaching professional success may be improved by giving them advice on which disciplines or tracks to follow based on information from other successful academics in their area as well as the students’ personal histories and interests, according to the authors. A data mining and machine learning-based strategy was developed in response to the information provided. Several academic institutions and students from two various academic fields provided data for the objectives of training, evaluation, and certification. (hamed, B., 2017). Different Machine learning algorithms like gaussian naive bayes, support vector machine, logistic regression, stochastic gradient descent, decision tree, random forest were used to develop methods that had a high degree of accuracy in their predictions. In the future, the technique that has been established may be utilized to choose a new subject or stream (Mohamed, B., 2017).
  • 关键词:Artificial intelligence;Dataset;machine Learning;Prediction
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