• I. SHANTHI
• Dr. K. VENKATA RAO

Predictive modeling for graduate admissions using machine learning is used to help graduates for getting admission into the top universities in which they are desired to admit and also the university administration to give admission to the graduates based on their performance. In this paper, machine learning techniques are applied to predict the chance of admission and number candidates the university is admitting based on the graduate admission data set. Three machine learning methods are explored including logistic regression (LR), support vector machine classifiers and linear regression regressor. These predictive models are constructed from graduate admission data set to predict the chance of admission of a graduate in the university

PREDICTIVE MODELING,CLASSIFICATION,REGRESSION,GRADUATE ADMISSIONS DATASET,MACHINE LEARNING

"PREDICTIVE MODELING FOR GRADUATE ADMISSIONS USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.775-779, June 2019, Available :http://www.jetir.org/papers/JETIR1907708.pdf

"PREDICTIVE MODELING FOR GRADUATE ADMISSIONS USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp775-779, June 2019, Available at : http://www.jetir.org/papers/JETIR1907708.pdf