This project has applied Machine Learning and Deep Learning techniques to analyse and predict the Air Quality in Beijing.
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Updated
Sep 19, 2022 - Jupyter Notebook
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 project aims at forecasting the PM2.5 concentration using the other environmental factors.
This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.
Predicting PM10 air particles using recurrent neural networks (RNN, GRU, LSTM)
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