Year: 2025
Type: review
Abstract: : Taking admissions is one of major topic now a days taking admissions into university in desired branch or domain is every one’s expectations now a days, but a student doesn’t know his chances for getting admissions in university and that always been a major concerns about admissions In today’s competitive academic environment, securing admission to top universities has become a major challenge for students worldwide. With thousands of applicants competing for limited seats, universities rely on various academic and non-academic parameters to evaluate candidates. To assist students in understanding their chances of admission, data-driven models can play a crucial role. This project, titled “University Admission Chance Predictor”, is designed to estimate the probability of a student being admitted to a university based on key admission factors. Poultry admissions is one of major topic now a days taking admissions into university in desired branch or domain is every ones expectations now a days, but a student doesn’t know his chances for getting admissions in university and that always been a major concerns about admissions. University admission chance predictor studies data provided by student and predictions according to it, using various libraries such as pandas and numpy ,also tells that if you have a chance in your desired field or branch or domain or not
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4416208617