Main Reference PaperA Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending, IEEE transactions on neural networks and learning systems, 2018 [Python]
  • The proposed model intended to vanish the issues of funding loans through the hierarchical grading framework and the end-to-end deep learning technique. It distinguishes the various competing risks of the loan through the deep neural networks. The deep neural networks enable the detailed exploration of that interaction of tasks.

Description
  • The proposed model intended to vanish the issues of funding loans through the hierarchical grading framework and the end-to-end deep learning technique. It distinguishes the various competing risks of the loan through the deep neural networks. The deep neural networks enable the detailed exploration of that interaction of tasks.

  • To improve the performance of the investment.

  • To resolve the issues of online P2P lending

Aim & Objectives
  • To improve the performance of the investment.

  • To resolve the issues of online P2P lending

  • The saliency maps based feature analysis offers potential insights on the dynamic payments of loans to potential investors.

Contribution
  • The saliency maps based feature analysis offers potential insights on the dynamic payments of loans to potential investors.

  • 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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