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Data Scripting

There are 'ghost' folders for both the datasets and the images created. These are ignored by git to ensure a clean repo is used.

Models

Predict Credit Score - CreditScore_updated.py

Predict Probability of Default - Default_NN.py

Predict Loan Amount - loan_amnt.py

Predict Loan Term - loan_term.py

Predict Type of Loan - LoanClassification.py

The goal of many of these models is to showcase to the user what an ideal loan would be to take out... A loan they would actually be able to afford. The credit score and type of loan are there to fill in potential missing fields in the form that users potentially didn't fill out.

Initial testing of SVM - svm_model.py (not great results so moved on)

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Scripts and initial ML design for Team 4's Senior Project

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