Our aim here is to conduct a wide variety of analyzes and forecasting operations using the data set here.
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 )
Dataset: https://www.kaggle.com/mohansacharya/graduate-admissions/home
- INTRODUCTION
- INVESTIGATING THE DATA and EXPLORATORY DATA ANALSIS
- One Visualization to Rule Them All
- Research Analysis
- GRE Score Analysis
- TOEFL Score Analysis
- University Rating Analysis
- CGPA vs GRE Score Analysis
- MODEL, TRAINING and TESTING
- Logistic Regression
- Naive Bayes
- K-Nearest Neighbors
- Decision Tree
- Random Forest
- Gradient Boosting Machine
- Kernelized SVM
- CONCLUSION
- REFERENCES