Engineering Project
Beijing Air Quality Forecasting
A deep learning project that uses LSTM and GRU neural networks to predict PM2.5 levels in Beijing based on historical weather and pollution data.
Overview
A deep learning project that uses LSTM and GRU neural networks to predict PM2.5 levels in Beijing based on historical weather and pollution data.
Approach
The project develops and evaluates LSTM and GRU neural networks for predicting PM2.5 levels from historical weather and pollution data.
Technology
Python, LSTM, GRU, Forecasting.