Estimating river streamflow accurately is important for flood protection and water management. This study used ensemble learning methods to predict daily streamflow data with high accuracy. By including tributary streamflow data in the prediction, the models performed even better. The results show that ensemble learning models are successful in estimating daily streamflow data, and using tributary streamflow data improves the accuracy of the predictions.