https://github.com/adnaaaen/air-quality-index-analysis

AQI ML MODEL
https://github.com/adnaaaen/air-quality-index-analysis

flask jinja2 machine-learning matplotlib pandas plotly python sklearn

Last synced: 5 months ago
JSON representation

AQI ML MODEL

• Host: GitHub
• URL: https://github.com/adnaaaen/air-quality-index-analysis
• Owner: adnaaaen
• License: mit
• Created: 2024-12-17T17:08:07.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-01-02T12:28:49.000Z (5 months ago)
• Last Synced: 2025-01-02T13:34:52.601Z (5 months ago)
• Topics: flask, jinja2, machine-learning, matplotlib, pandas, plotly, python, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 66 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
[![Typing SVG](https://readme-typing-svg.demolab.com?font=Fira+Code&weight=700&size=60&pause=2000&color=F7F7F7&width=1000&height=100&lines=Air+Quality+Index+Analysis;An+End-to-End+ML+Application)](https://www.linkedin.com/in/adnaaaen/)

>[!NOTE]

>

>**You must download the dataset before running notebooks.**

>

>To download the dataset, run the script located at `scripts/download_data.py`.

>

>You can execute the script by running:

> ```

> python scripts/download_data.py

> ```

```

Directory structure:

└── air-quality-index-analysis/

    ├── README.md

    ├── LICENSE

    ├── requirements.txt

    ├── run.py

    ├── app/

    │   ├── __init__.py

    │   ├── config/

    │   │   ├── __init__.py

    │   │   └── paths.py

    │   ├── routes/

    │   │   ├── __init__.py

    │   │   ├── api.py

    │   │   └── core.py

    │   ├── static/

    │   │   ├── css/

    │   │   │   └── style.css

    │   │   └── images/

    │   ├── templates/

    │   │   ├── 404.html

    │   │   ├── about.html

    │   │   ├── base.html

    │   │   ├── home.html

    │   │   ├── model.html

    │   │   └── predict.html

    │   ├── uploads/

    │   │   └── aqi_input_template.csv

    │   └── utils/

    │       ├── __init__.py

    │       └── model_prediction.py

    ├── data/

    │   └── raw/

    │       └── README.md

    ├── model/

    │   ├── encoders/

    │   │   ├── binary_encoder.joblib

    │   │   └── standard_scaler.joblib

    │   └── trained/

    │       └── linear_regression_model.joblib

    ├── notebooks/

    │   ├── 01_data_cleaning.ipynb

    │   ├── 02_eda.ipynb

    │   ├── 03_preprocessing.ipynb

    │   └── 04_model_building.ipynb

    └── scripts/

        └── download_data.py

```