Course Prediction Using Advance Machine Learning |
Author(s): |
| Prajwal Pavan , SJB Institute of Technology; Mohan M P, SJB Institute of Technology; Prajwal Pashupathy, SJB Institute of Technology; Aditya, SJB Institute of Technology |
Keywords: |
| Course Prediction, Machine Learning, XGBoost, Naïve Bias, Random Forest |
Abstract |
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Students are going through their scholastics and seeking after their intrigued courses, because of pandemic, it is important that they must evaluate their capacities and recognize their inclinations with the goal that they will become more acquainted with in which profession region their inclinations and abilities will place them in. This will help them in improving their presentation and rousing their inclinations so they will be coordinated towards their designated vocation and get gotten comfortable that. Likewise spotters while selecting the up-and- comers in the wake of surveying them in every extraordinary viewpoint, these sort of profession recommender frameworks help them in choosing in which work job the competitor ought to be kept in dependent on his/her presentation and different assessments. This paper primarily focuses on the profession region forecast of software engineering space competitors. |
Other Details |
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Paper ID: IJSRDV9I50220 Published in: Volume : 9, Issue : 5 Publication Date: 01/08/2021 Page(s): 257-259 |
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