This project aims to predict air quality levels using machine learning techniques. It utilizes a dataset containing pollution data to train a model that can forecast air quality levels. The trained model can be used to make predictions based on new input data.
- Clone the repository:
git clone https://github.com/Hacker-Sam-is-here/Air-Quality-Prediction.git cd Air-Quality-Prediction - Install the required packages:
pip install -r requirements.txt
To make predictions on air quality, run the following command:
python air_quality_prediction.pyEnsure that the updated_pollution_dataset.csv file is in the same directory, as it may be used for loading data.
- Python 3.x
- pandas
- scikit-learn
- numpy
This project is licensed under the MIT License.