Main Reference PaperForecasting stock market crisis events using deep and statistical machine learning techniques, Expert Systems With Applications, 2018 [Python]
  • By exploiting the ensemble methods, this work associates the multiple machine learning methods to mitigate the risk and improve accuracy. It makes the most promising financial stability system by predicting the crisis event in the stock market.

Description
  • By exploiting the ensemble methods, this work associates the multiple machine learning methods to mitigate the risk and improve accuracy. It makes the most promising financial stability system by predicting the crisis event in the stock market.

  • To predict crisis event based on the machine learning technique

  • To enhance the classification accuracy

Aim & Objectives
  • To predict crisis event based on the machine learning technique

  • To enhance the classification accuracy

  • This work is improved using the generalization technique

Contribution
  • This work is improved using the generalization technique

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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