Supervised Machine Learning Modelling & Analysis For Graduate Admission Prediction


Supervised Machine Learning Modelling & Analysis For Graduate Admission Prediction

Sujay S

Sujay S "Supervised Machine Learning Modelling & Analysis For Graduate Admission Prediction " Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-7 | Issue-4 , August 2020, URL: http://www.ijtrd.com/papers/IJTRD22200.pdf

Predictive modelling has found its place in this century for providing an in-depth view and in helping humans in their day to day activity. In this paper, I have analyzed and predicted the possibility of a person getting an admit for graduate courses in the United States based on a supervised machine learning algorithm using Python and its various libraries on a dataset. After implementing immense research on the dataset, explored the relationship between each factor which contribute in one or the other way to get an admit. Finally, using linear regression, allowed the program to predict the data from the user.

Machine Learning, Linear Regression, Predictive Modelling, Exploratory Data Analysis


Volume-7 | Issue-4 , August 2020

2394-9333

IJTRD22200
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