/Virtual-Learning-Environment

Create two models to predict the student's final result in a virtual learning environment

Primary LanguagePythonMIT LicenseMIT

Virtual Learning Environment

VLE

Table of Contents

  1. How to run the project
  2. Data preprocessing
  3. Data Visualization
  4. Training Models

1. Running the project

In order to run the project, do the followings:

  • Go to the root directory of the project
  • Run python3 -m venv .venv
  • Then source .venv/bin/activate
  • Finally, pip install -r requirements.txt
  • To get all results, run python prediction.py