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Stock Market Analysis using Supervised Machine Learning | Python Project | Data Science | Machine Learning | IEEE

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Stock Market Analysis using Supervised Machine Learning

Abstract:

Stock market or Share market is one of the most complicated and sophisticated way to do business. Small ownerships, brokerage corporations, banking sector, all depend on this very body to make revenue and divide risks; a very complicated model. However, this paper proposes to use machine learning algorithm to predict the future stock price for exchange by using open source libraries and preexisting algorithms to help make this unpredictable format of business a little more predictable. We shall see how this simple implementation will bring acceptable results. The outcome is completely based on numbers and assumes a lot of axioms that may or may not follow in the real world so as the time of prediction.

Technology:

  • Java
  • JDK
  • Data Science
  • MySql

Including Packages                         

  • Supporting Softwares
  • Source Code
  • Documentation
  • Presentation Slides
  • System architecture
  • Data Flow Diagram            
  • Screenshots    
  • Execution Procedure
  • Database File

Specialization

  • Video On Demand *
  • Remote Connectivity *
  • Code Customization *
  • Document Customization *
  • Online Support *
  • Voice Conference*
  • Video Tutorials *
  • Readme File

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Reference IEEE Paper: Stock Market Analysis using Supervised Machine Learning

Technology

Java
Category:

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