This project has applied Machine Learning and Deep Learning techniques to analyse and predict the Air Quality in Beijing.

Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air

PurpleAirSF: datasets for realistic air quality forecasting

This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.

This project aims at forecasting the PM2.5 concentration using the other environmental factors.

Predicting PM10 air particles using recurrent neural networks (RNN, GRU, LSTM)