Main Reference PaperA deep learning approach for credit scoring using credit default swaps, Engineering Applications of Artificial Intelligence, 2017.[Python]
  • This work proposes the credit scoring model using the deep belief network (DBN). Then, it contrasts with the logistic regression, multilayer perceptron, and SVM. The results illustrated that DBN provides superior performance.

Description
  • This work proposes the credit scoring model using the deep belief network (DBN). Then, it contrasts with the logistic regression, multilayer perceptron, and SVM. The results illustrated that DBN provides superior performance.

  • To identify the credit risk

  • To compare the DBN with the other deep learning methods

Aim & Objectives
  • To identify the credit risk

  • To compare the DBN with the other deep learning methods

  • To develop the DBN over the dynamic model enables forecasting across the weekly time horizons

Contribution
  • To develop the DBN over the dynamic model enables forecasting across the weekly time horizons

  • 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.

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