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Loan-Eligibility-Prediction

Model Accuracies:

Random Forest Classifier : 98.5%
SVM Classifier : 95.5%
KNN Classifier : 83.7%
Multi Level Perceptron : 95.1%

Technologies:

Programming Language: Python
Libraries: Pandas, Scikit-learn, Matplotlib

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Model that predicts if an individual is a Defaulter or not on the basis of his current financial status and credit history.

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