A ML model to predict your chances of getting admitted to university based on various different parameters.
The ML model is hosted on streamlit and can be used using the link given below
Dataset source . The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are :
GRE Scores ( out of 340 )
TOEFL Scores ( out of 120 )
University Rating ( out of 5 )
Statement of Purpose and Letter of Recommendation Strength ( out of 5 )
Undergraduate GPA ( out of 10 )
Research Experience ( either 0 or 1 )
Chance of Admit ( ranging from 0 to 1 )
Acknowledgements
This dataset is inspired by the UCLA Graduate Dataset. The test scores and GPA are in the older format. The dataset is owned by Mohan S Acharya.
Inspiration
This dataset was built with the purpose of helping students in shortlisting universities with their profiles. The predicted output gives them a fair idea about their chances for a particular university.