📘 M4 Submission – Predicting User Performance from Activity Behaviour

This repository contains our Milestone 4 submission for the course project on predicting student performance based on learning platform activity data.

📄 Submission Notebook

The main analysis and results are documented in the Jupyter notebook:

m4_FFO.ipynb

Please refer to this notebook for our research question, methodology, model results, and conclusions.

You can find our report in the file MLBD__PROJECT_M4.pdf.

⚠️ Important Note on Data

We provide an updated version of math_results.csv, which we received directly from Tom from GoGymi. If you choose to rerun the analysis or any part of the notebook, make sure to use our version of the data, as it is essential for reproducing the reported results.

⚙️ Setup & Dependencies

To install the dependencies, we recommend using Poetry.
Run the following commands in your terminal:

poetry install
poetry shell

This will create a virtual environment with all necessary packages installed.