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This was a project that I worked on during my 4th year, the goal was to look for the best dataset that could be used for credit loan approval, we had to clean, feature engineer and then clean the dataset again as it had too much useless features (the dataset was not destined for this application) then applied a binary classification model.

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AymenBOUGUERRA/Deep_Learning_For_Loan_Approval

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Deep_Learning_For_Loan_Approval

I have lost the documentation and the presentation of this work, so there is little information but for what can be decucted from the code

Here is the link for the saved model after the training (same model as the one in the code)

https://drive.google.com/drive/folders/1KlqjSGHgB83Ctvj_sMVQ3FxmImS5bI-u?usp=sharing

Here I provide the link for the dataset (70mo) that I use, very hard to get dataset with rich and important features and with +500k samples

https://drive.google.com/file/d/1DAz-Y6R1aaVWU116P0iWHizBzitd9nKP/view?usp=sharing

here is the link for the executable that I made to test the model, this exe is very heavy (700mo) as it conains all the libs, the model ect

https://drive.google.com/file/d/1gc3zHU3GJrIieSG5M_FwLT0kAEFV2oyJ/view?usp=sharing

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This was a project that I worked on during my 4th year, the goal was to look for the best dataset that could be used for credit loan approval, we had to clean, feature engineer and then clean the dataset again as it had too much useless features (the dataset was not destined for this application) then applied a binary classification model.

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