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Predicting Credit Card Defaults This repository provides a step-by-step tutorial on predicting credit card defaults using machine learning algorithms in Python with scikit-learn. Learn to implement SVM, Random Forest, Decision Trees, k-Nearest Neighbors, and Artificial Neural Networks to forecast default payments for credit card clients.
A custom created application with a GUI utilizing Python and libraries PyPDF2 to scrape, scan and evaluate a person's funding capacity based on their PDF credit report.