https://github.com/jpedrou/students-performance
App to predict a student's math grade based on his attributes.
https://github.com/jpedrou/students-performance
django javascript python3 sqlite3 vue3 vuetify3
Last synced: 4 months ago
JSON representation
App to predict a student's math grade based on his attributes.
- Host: GitHub
- URL: https://github.com/jpedrou/students-performance
- Owner: jpedrou
- License: mit
- Created: 2024-08-15T23:57:03.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-31T10:43:21.000Z (over 1 year ago)
- Last Synced: 2025-10-28T06:32:41.389Z (8 months ago)
- Topics: django, javascript, python3, sqlite3, vue3, vuetify3
- Language: Python
- Homepage:
- Size: 2.34 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Students Performance
The goal of this project is to predict a student s math score based on his attributes. The dataset was taken from Kaggle. You can access it clicking here.
Technologies
)
Setup
Node is required to run this application. You can install it here.
With Node already installed, go to the folder `frontend` in the terminal and run the following command:
```bash
npm install
```
This command will get all the vue, vite and vuetify dependecies automatically.
Then, you're ready to start the vuetify setup, just run:
```bash
npm run dev
```
To run the algorithm and the database, first you will need to install the Python Interpreter.
With Python installed, it's needed to create a virtual environment to isolate all the dependencies in the project folder. To make it easer, just run in the project root directory:
**Linux**
```bash
python3 -m venv venv
```
To activate the virtual env, run:
```bash
source venv/bin/activate
```
**Windows**
```bash
python -m venv venv
```
To activate the virtual env, run:
`cmd`
```bash
.\venv\Scripts\activate.bat
```
`PowerShell`
```bash
.\venv\Scripts\activate.ps1
```
**Running SQL Database**
Django detects the changes in the models by running the following command:
```bash
python manage.py makemigrations
```
To effectively build the database tables, run:
```bash
python manage.py migrate
```
Then, you're ready to run the Django project:
```bash
python manage.py runserver
```