The Jupyter Notebook (notebook.ipynb
) performs analytics and simple prediction of chances of getting admitted in a graduate school based on various factors.
The dataset is taken from Kaggle and can be found at https://www.kaggle.com/mohansacharya/graduate-admissions?select=Admission_Predict_Ver1.1.csv
The dataset contains following information:
- GRE Score (out of 340).
- TOEFL Score (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 (0 or 1).
- Chance of Admit (ranging from 0 to 1).
- Different relationships have been explored between each of the above factos. They are all accompied by visual plots and EDA has been performed.
- Lastly, a simple multi-linear regression model that predicts chances of admission based on all of the factors has also been provided.