https://github.com/allanotieno254/air-pollution-decision-tree-classifier
This project implements a Decision Tree classifier to predict air pollution levels based on various environmental factors.
https://github.com/allanotieno254/air-pollution-decision-tree-classifier
data-analytics opencv python
Last synced: 4 months ago
JSON representation
This project implements a Decision Tree classifier to predict air pollution levels based on various environmental factors.
- Host: GitHub
- URL: https://github.com/allanotieno254/air-pollution-decision-tree-classifier
- Owner: AllanOtieno254
- Created: 2025-03-14T20:55:02.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-14T21:02:58.000Z (7 months ago)
- Last Synced: 2025-03-14T22:19:31.381Z (7 months ago)
- Topics: data-analytics, opencv, python
- Language: Python
- Homepage:
- Size: 381 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Air Pollution Decision Tree Classifier
## Overview
This project implements a Decision Tree classifier to predict air pollution levels based on various environmental factors. The model is trained using real-world air pollution datasets and aims to assist in understanding air quality patterns.
## Features
- Preprocesses air pollution data.
- Trains a Decision Tree classifier.
- Evaluates the model's performance using accuracy metrics.
- Provides predictions on air pollution levels.
## Installation
To run this project, follow these steps:
1. Clone this repository:
```bash
git clone https://github.com/yourusername/Air_Pollution_Decision_Tree.git
```
2. Navigate to the project directory:
```bash
cd Air_Pollution_Decision_Tree
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
## Usage
1. Ensure you have the dataset in the `data/` directory.
2. Run the script:
```bash
python scripts/air_pollution_decision.py
```
3. The model will train and display evaluation metrics.
## Project Structure
```
/Air_Pollution_Decision_Tree
│── data/
│ ├── global_air_pollution_data.csv
│── models/
│ ├── air_quality_index_prediction_model.sav
│── scripts/
│ ├── air_pollution_decision.py
│── README.md
│── requirements.txt
│── LICENSE
```
## Dataset
The dataset consists of air pollution metrics such as:
- PM2.5
- PM10
- NO2
- CO
- SO2
- Temperature
- Humidity
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Author
[Allan Otieno Akumu](https://github.com/AllanOtieno254)
## Acknowledgments
- Open-source air quality datasets.
- Python libraries such as Scikit-learn and Pandas.