Main Reference PaperApplying spark based machine learning model on streaming big data for health status prediction, Computers and Electrical Engineering, 2018 [Python/Spark]
  • To predict the health status, a machine learning model needs to be developed, which could accurately classify a user with either presence or absence of heart disease, based on his/her health attributes. A Decision tree is a popular machine learning method for classification and is chosen to perform the prediction.

Description
  • To predict the health status, a machine learning model needs to be developed, which could accurately classify a user with either presence or absence of heart disease, based on his/her health attributes. A Decision tree is a popular machine learning method for classification and is chosen to perform the prediction.

  • Reducing the cost.

  • To predict the health status for huge datasets.

Aim & Objectives
  • Reducing the cost.

  • To predict the health status for huge datasets.

  • The feature selection mechanism is contributed to improve the classification accuracy.

Contribution
  • The feature selection mechanism is contributed to improve the classification accuracy.

  • 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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