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Applying Machine Learning Naive Bayes for Real-Time Cryptocurrency Price Prediction: An Empirical Study for the MSc Advanced Computing Thesis at King's College London

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Applying Machine Learning Naive Bayes for Real-Time Cryptocurrency Price Prediction: An Empirical Study

This project contains three executable applications, as follows:

  • React Web Application
  • Flask Application
  • ExpressJS Application

In order to test the developed system, all three should be executed simultaneously. Although, running the React web application and Flask application is sufficient enough to test the real-time objetive of this study.

All sub-systems folders contain further instructions on how to set up and run the testing environment. Flask and ExpressJS applications were developed using PyCharm and Visual Studio IDEAs, respectively.

Important

A PostgreSQL RDBMS must be started and configured before running any of the mentioned applications.

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Applying Machine Learning Naive Bayes for Real-Time Cryptocurrency Price Prediction: An Empirical Study for the MSc Advanced Computing Thesis at King's College London

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