COMPARATIVE ANALYSIS OF DATA MINING ALGORITHMS FOR HUMIDITY PREDICTION

Predicting humidity is critical in weather forecasting, agriculture, and HVAC systems. This study looks into the many methods used for humidity prediction, which range from basic statistical models to cutting-edge machine learning techniques. We go over their benefits and downsides, as well as methods for enhancing forecast accuracy and data processing. Finally, the research looks at future trends, such as hybrid models, which mix different approaches to better forecasting.