ghadikq / College_Admission

I would like to use ML to help high school students focus on the factors that really affect the college admission process and help them to get admitted.

College Admission

Machine Learning Discovery

In this project, I wanted to create a model to predict if a high school student will be admitted into college based on elements provided in my dataset like GPA, GRE, and Rank.
This project has a challenge which is a small dataset so I try to deal with the challenge using different methods to create the prediction model.
Also, I implement the project in both R and Python.

What done in this project?

• EDA
  

• Clean dataset.
  

• Organize dataset columns types.
  

• Provide a chart to understand data.
  

• Work on predict catagorical value yes/no and try 3 different model on it.
  

• Machine Learning Models:
  

  • Logistic Regression
    
  • GBM
    
  • Random Forest
    
  • Extra:KNN
    

NOTE: I used green color for plots I know it's not suitable because of Color blindness but I chose it because it's the color of my college KKU. I used different Color Saturation to solve this problem.

Repository content

• College_Admission in R
  
• College_Admission in Python
  
• College_Admission_Report Markdown