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Student Success Prediction and Instructor Interactive Dashboard

Nerds of Encouragement

University of Michigan

SIADS 697 Capstone

Summer 2022

This repository contains all code utilized for our capstone project, including data cleaning and feature extraction, supervised and unsupervised learning algorithms, and the interactive dashboard.

The dataset utilized in this project is the Open University Learning Analytics dataset (OULAD). A comprehensive description of this data, as well as a download for the most current dataset, can be found at analyse.kmi.open.ac.uk/open_dataset.

Requirements

The following libraries are utilized in this project:

  • pandas-1.0.5
  • numpy-1.18.5
  • matplotlib-3.2.2
  • sklearn-0.0
  • import_ipynb-0.1.4
  • jupyter_dash-0.4.2
  • dash-2.5.1
  • plotly-5.3.0

Example

To run this dashboard, please make sure you have the dataset (including the full studentVle.csv from OULAD) and required libraries installed, then run the Jupyter Notebook Interface4.ipynb and point your browser to http://127.0.0.1:8401/

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