Monitoring, Modelling, and Forecasting Air Pollution in an Urban Centre: PM2.5 Dataset, Code, and Forecast Results

<br>## OverviewThis repository contains the dataset, code, and instructions for forecasting PM2.5 concentrations in Newcastle city centre, Thailand using Gaussian Process Regression (GPR). The project aims to provide reproducible results for air pollution forecasting and data analysis.## Usage1. Load the CSV dataset in Python using pandas.2. Open `gp_forecast.ipynb` to explore the code for training and forecasting PM2.5.3. Modify parameters or time windows as needed.4. Run the notebook step-by-step for reproducible forecasts.**Note:** This project requires Python 3.x and a Jupyter Notebook environment to run `gp_forecast.ipynb`.