This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.
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All notebooks reviewed and validated and the model predictions evaluated
79cbeb1View on GitHubTraining after adjusting training and validation periods
9016ba8View on GitHubConstructing the LSTM input data sets for training, validation and testing
03fce7eView on GitHub