https://github.com/tylerpetri/packaged-student-score-ml-project

ETL/Workflow/Pipeline executed in Jupyter Notebook as well as Python including a setup.py, exception throwing, logging, etc
https://github.com/tylerpetri/packaged-student-score-ml-project

machine-learning python

Last synced: about 1 month ago
JSON representation

ETL/Workflow/Pipeline executed in Jupyter Notebook as well as Python including a setup.py, exception throwing, logging, etc

• Host: GitHub
• URL: https://github.com/tylerpetri/packaged-student-score-ml-project
• Owner: TylerPetri
• Created: 2024-08-21T17:07:47.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-08-22T02:50:09.000Z (9 months ago)
• Last Synced: 2025-02-16T02:45:41.018Z (3 months ago)
• Topics: machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.84 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Packaged student score ML project

Student score prediction project, BUT in a python package environment

Find Jupyter notebook visualization graphs in: `notebook/EDA STUDENT PERFORMANCE.ipynb`

Find Jupyter notebook model training in: `notebook/MODEL TRAINER.ipynb`

### Run flask front-end to test prediction

Environment: venv python=3.8

* `conda create -p venv python=3.8 -y`

* `conda activate venv/`

`pip install -r requirements.txt`

`python app.py`

### Some Results

![scores](./assets/scores.png)

![sorted scores](./assets/sorted%20scores.png)

![linear regression graph](./assets/linear%20regression.png)