A Recurrent Neural Network Model that tries to predict how the stock price of Google will fluctuate based on historical data
The training data is present in Google_Stock_Price_Train.csv. The model is trained with the implementation of LSTM layers through
Tensorflow and Keras frameworks.
The model is then tested with the data present in Google_Stock_Price_Test.csv. We then plot the actual and predicted stock prices to
see how they compare.