Skip to content

babyp/6001CEM-Individual-Project

main
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

A Comparative Analysis of Machine Learning Algorithms to Predict Academic Performance using KDD methodology

Repository of Individual Project (SID:10002997)

image

This repository contains the dataset, files and code used for my Computer Science with Artificial Intelligence dissertation. The aim of this project was to answer the following questions:

  • How accurately can different machine learning algorithms predict academic performance in higher education?

  • To what extend does different student features influence academic performance predictions?

Authors

Installation

To run the .ipynb code file, please download the following software:

To set up the working environment on Jupyter notebook, please download the following libraries :

!pip install pandas numpy matplotlib seaborn plotly 
!pip install tensorflow keras livelossplot scikit-learn Pillow
!pip install openpyxl
!pip install xgboost

Acknowledgements

License

  • This project is licensed under the MIT License - see the MIT file for further details.

  • The dataset used in this research is licensed by the CC BY 4.0 licence - see the CC 4.0 for further details.

About

Repository of Individual Project (SID:10002997)

Resources

License

Stars

Watchers

Forks

Releases

No releases published