Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and ...
Deep Learning: Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) models can capture dependencies in sequential data ... Deep learning models such as Transformers, including BERT ...
A wide range of detection mechanisms incorporated in the literature is examined, such as convolutional neural network (CNN), long short term memory (LSTM)-based detectors for rating-based shilling ...
To address this challenge, we analyzed six machine learning models: Naïve Bayes, Support Vector Machine (SVM), Long Short-Term Memory (LSTM), Random Forest, AdaBoost, and BERT, with a particular focus ...