A Comparison of LSTM, GRU, and XGBoost for forecasting Morocco's yield curve
The field of time series forecasting has grown significantly over the past several years and is now highly active. In numerous application domains, deep neural networks are exact and powerful. They are among the most popular machine learning techniques for resolving big data issues because of these factors. Historically, there have been numerous methods for accurately predicting the subsequent change in time series data. The time series forecasting problem and its mathematical underpinnings are first articulated in this study. Following that, a description of the m