| Autor: |
Shinde, Sushma, Nakve, Siddhesh, Nimbalkar, Krishna, Kashid, Shraddha, Jadhav, Vishwajeet |
| Předmět: |
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| Zdroj: |
International Research Journal of Innovations in Engineering & Technology; Mar2024, Vol. 8 Issue 3, p150-154, 5p |
| Abstrakt: |
Making a short list of universities can be very difficult for graduate students. Undergraduates frequently ponder whether their profile fits the requirements of the universities they have their sights set on. Computer tools have been used more and more to help with college applications in recent years. Students must choose colleges that fit their profiles because college admissions are expensive. Undergraduates can use a machine learning algorithm to help them choose their ideal colleges based on a variety of factors, including university ranking, SOP, GRE, LOR, CGPA, and TOEFL scores. The algorithm can forecast a student's chances of being accepted into a certain university by accounting for each of these variables. This suggested approach can help college students make well-informed decisions about their future and improve their chances of being accepted into the University of their Choice. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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