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Machine Learning with R: Predicting Client Default Probability
This is a ML exercise to predict the credit card default in a dataset with multiple variables. The goal is to demonstrate the implentation of various ML models in R for real-world business cases, with a focus on the benefits and predictive power of the XGBoost model. You can find the code in the following github: https://github.com/paulocpv/ml_r_creditcard_default