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Apache Spark Deep Learning Cookbook
book

Apache Spark Deep Learning Cookbook

by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
July 2018
Intermediate to advanced
474 pages
13h 37m
English
Packt Publishing
Content preview from Apache Spark Deep Learning Cookbook

Predicting Apple Stock Market Cost with LSTM

Stock market predictions have been going on for many years and it has spawned an entire industry of prognosticators. It shouldn't come as a surprise since it can turn a significant profit if predicted properly. Understanding when is a good time to buy or sell a stock is key to getting the upper hand on Wall Street. This chapter will focus on creating a deep learning model using LSTM on Keras to predict the stock market quote of AAPL.

The following recipes will be covered in this chapter:

  • Downloading stock market data for Apple
  • Exploring and visualizing stock market data for Apple
  • Preparing stock data for model performance
  • Building the LSTM model
  • Evaluating the LSTM model
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Publisher Resources

ISBN: 9781788474221