College Recommendation System for Engineering Admission
Admission Prediction Using Machine Learning. (Regression Use Case)
find the chance of admission of a candidate based on his/her GRE Score (out of 340), TOEFL Score (out of 120), rating of the University (out of 5) in which he/she is trying to get admission, Strength of the SOP (out of 5), strength of the Letter Of Recommendation (out of 5), CGPA (out of 10) and the research experience (0 or 1) deployed on GCP
Prediction of Chances of Admission for Higher Studies using ML models
Predicting student´s academic success
This projecct describes the process whether the students are eligible for admission criteria based on the random data created with the help of python
University admission prediction. Regression and Neural Networks
This project predicts Ivy League admission chances using Linear, Ridge, and Lasso Regression. It includes EDA, feature engineering, assumption testing, and model evaluation, highlighting key factors like GRE, TOEFL, CGPA, SOP/LOR strength, and research experience to provide actionable insights for students and consultants.
🎓Admission Prediction, Artificial Intelligence course, University of Tehran
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