Multivariate-Linear-Regression

Multivariate linear regression model, on graduate admission dataset, to predict the chance of admission to a graduate program. The dataset contains several features which are considered important during the application for Masters Programs. The features 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).
5. Research Experience (either 0 or 1).
6. Chance of Admit (ranging from 0 to 1).

Experiments were performed on the learning rate values and feature normalization.