A time-series forecasting project leveraging open environmental data from OpenAfrica to model and predict PM2.5 air quality levels. This project utilizes MongoDB, PyMongo, and pandas for scalable data handling and applies ARIMA-based forecasting to enable actionable environmental insights.
# 030-Air-Quality-In-Nairobi
- Data wrangling with MongoDB
- LinearRegression with time Series data
- Autoregressive models
- ARMA models and Hyperparameter tuning