After clone or download this repository run these following commands
cd Write-A-Data-Science-Blog-Post
pip install -r requirements.txt
Students who want to pursue higher studies from abroad especially the United States of America often worried about their chance of admission to graduate school. The aim of this blog post is to help the aspirant students to focus on improving their profile in order to get admission in the top rating universities. This analysis should help students who are currently preparing or will be preparing to get a better understanding of the important criteria to get an admission.
- Does CGPA, GRE and TOEFL scores influence the chance of admission?
- Does previous research experiences have any influence on the chance of admission?
- If students do not have any research experience, what other criteria are important to get admission with higher probability?
- What is the most important feature in graduate admission?
The dataset (Admission_Predict_Ver1.1.csv) contains several parameters which are considered important during the application for Graduate admission. 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 )
The main findings of the code can be found at the post available
Must give credit to Udacity courses for some of code ideas, and to kaggle for the data. You can find the Licensing for the data and other descriptive information at the Kaggle link available here. Otherwise, feel free to use the code here as you would like!