seoultech_policy_project

The objective of the project

This project is for an analysis of why undergraduate students apply to graduate school.
The project will help university managers to have insights for promoting admission.

Analysis goal by data

1. Data 1. Academic data(Graduate students who received bechelor degree from seoultech)

• Preprocessing
• Clustering

2. Data 2. Survey data(from Undergraduate and Graduate students)

• Preprocessing
• ANOVA
• Supervised learning
  • Y is whether undergraduate students hope to apply seoultech graduate school or not.
  • Look at the feature importances from X

Code explanation

• utils.py : preprocessing functions
• basic.py : run preprocessing
• clustering.py : clustering analysis for data 1
• anova.py : anova test for data 2
• logistic_regression.py : supervised learning for data 2

Alerts

• I uploaded only codes and some outputs like plots because all of the data is confidential.
• This is team project, so there are missing analysis results and processes.