saimihirj / Graduate-Admissions-Prediction

Analyzing the chances of students getting admission into graduate program into the top 5 universities in the US.

Graduate Admissions Prediction

Dataset: Graduate Admissions Dataset

Source: Kaggle

Metrics: 500 rows, 9 columns

About: The graduate studies dataset is a dataset which describes the probability of selections for Indian students dependending on the following parameters.

Parameters: The parameters include:

1. GRE Score (out of 340)
2. TOEFL Score (out of 120)
3. IELTS Score (out of 9)
4. University Rating (out of 5)
5. Statement of Purpose/ SOP (out of 5)
6. Letter of Recommendation/ LOR (out of 5)
7. Research Experience (either 0 or 1)
8. Chance of Admittance (ranging from 0 to 1)

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. This dataset is inspired by the UCLA Graduate Dataset from Kaggle.

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