{"id":24644942,"url":"https://github.com/adnaen/air-quality-index-analysis","last_synced_at":"2025-03-20T15:14:10.045Z","repository":{"id":268722598,"uuid":"904850868","full_name":"adnaen/air-quality-index-analysis","owner":"adnaen","description":"AQI ML MODEL","archived":false,"fork":false,"pushed_at":"2025-01-05T17:15:42.000Z","size":70263,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-23T17:38:09.533Z","etag":null,"topics":["flask","jinja2","machine-learning","matplotlib","pandas","plotly","python","sklearn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Typing SVG](https://readme-typing-svg.demolab.com?font=Fira+Code\u0026weight=700\u0026size=60\u0026pause=2000\u0026color=F7F7F7\u0026width=1000\u0026height=100\u0026lines=Air+Quality+Index+Analysis;An+End-to-End+ML+Application)](https://www.linkedin.com/in/adnaaaen/)\n\n\u003e[!NOTE]\n\u003e\n\u003e**You must download the dataset before running notebooks.**\n\u003e\n\u003eTo download the dataset, run the script located at `scripts/download_data.py`.\n\u003e\n\u003eYou can execute the script by running:\n\u003e ```\n\u003e python scripts/download_data.py\n\u003e ```\n\n```\nDirectory structure:\n└── air-quality-index-analysis/\n    ├── README.md\n    ├── LICENSE\n    ├── requirements.txt\n    ├── .gitattributes\n    ├── Dockerfile\n    ├── run.py\n    ├── app/\n    │   ├── __init__.py\n    │   ├── config/\n    │   │   ├── __init__.py\n    │   │   └── paths.py\n    │   ├── routes/\n    │   │   ├── __init__.py\n    │   │   ├── api.py\n    │   │   └── core.py\n    │   ├── static/\n    │   │   ├── css/\n    │   │   │   └── style.css\n    │   │   └── images/\n    │   ├── templates/\n    │   │   ├── 404.html\n    │   │   ├── about.html\n    │   │   ├── base.html\n    │   │   ├── home.html\n    │   │   ├── model.html\n    │   │   └── predict.html\n    │   ├── uploads/\n    │   │   └── aqi_input_template.csv\n    │   └── utils/\n    │       ├── __init__.py\n    │       └── model_prediction.py\n    ├── data/\n    │   └── raw/\n    │       └── README.md\n    ├── model/\n    │   ├── encoders/\n    │   │   ├── binary_encoder.joblib\n    │   │   └── standard_scaler.joblib\n    │   └── trained/\n    │       └── random_forest_regressor.joblib\n    ├── notebooks/\n    │   ├── 01_data_cleaning.ipynb\n    │   ├── 02_eda.ipynb\n    │   ├── 03_preprocessing.ipynb\n    │   └── 04_model_building.ipynb\n    └── scripts/\n        └── download_data.py\n\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadnaen%2Fair-quality-index-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadnaen%2Fair-quality-index-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadnaen%2Fair-quality-index-analysis/lists"}