Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia.

Accurately predicting meteorological parameters such as air temperature and humidity plays a crucial role in air quality management. This study proposes different machine learning algorithms: Gradient Boosting Tree (G.B.T.), Random forest (R.F.), Linear regression (LR) and different artificial neura... View More