In LSTM, the bag-of-words approach used to create building blocks of data from raw text ... The decision-based ensemble machine learning algorithm XGBoost (eXtreme Gradient Boosting) helps to classify ...

The code has been tested running under Python 3.7.4, with the following packages and their dependencies installed: numpy==1.16.5 sklearn==0.21.3 statsmodels==0.10.1 pandas==0.25.1 tensorflow==2.1.0 ...

Finally, traditional time series prediction methods, such as Recurrent Neural Network (RNN), Convolution Neural Network (CNN) combined with eXtreme Gradient Boosting (XGBoost), are applied to study ...

With a strong background in developing and optimizing machine learning models, I hav... I am student of data science and machine learning I specialize in leveraging LSTM, ARIMA, XGBoost, and GRU for ...

These enriched quantum features were combined with the Bi-LSTM-extracted temporal features and then fed into an XGBoost ...

The results underscore the effectiveness of boosting algorithms such as CatBoost, LightGBM, and XGBoost in managing time series data. The study’s heatmap visualization provided a comprehensive ...