Main Reference PaperPredicting Mortgage Default using Convolutional Neural Networks, Expert Systems with Applications, 2018 [R]
  • The proposed work attempts to predict the mortgage by utilizing the deep learning technique. It examines the transactional data that reflects the user behavior and the credit risk through the Convolutional Neural Network (CNN) and the random forest classifier for credit scoring.

Description
  • The proposed work attempts to predict the mortgage by utilizing the deep learning technique. It examines the transactional data that reflects the user behavior and the credit risk through the Convolutional Neural Network (CNN) and the random forest classifier for credit scoring.

  • To predict the mortgage from the transactional data

  • To improve the prediction accuracy

Aim & Objectives
  • To predict the mortgage from the transactional data

  • To improve the prediction accuracy

  • To build the credit scoring model for the large-scale transactional data

Contribution
  • To build the credit scoring model for the large-scale transactional data

  • 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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