Machine Learning Models from Scratch for Beginners 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.
Context: This dataset is created for the prediction of Graduate Admissions from an Indian perspective. Content The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are :
1.GRE Scores ( out of 340 )
2.TOEFL Scores ( out of 120 )
3.University Rating ( out of 5 )
4.Statement of Purpose and Letter of Recommendation Strength ( out of 5 )
5.Undergraduate GPA ( out of 10 )
6.Research Experience ( either 0 or 1 )
7.Chance of Admit ( ranging from 0 to 1 ) Acknowledgments 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.
Numpy
Matplotlib
Pandas
Seaborn