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This notebook explores different machine learning techniques for predicting credit card payment defaults, with a focus on k-Nearest Neighbors (kNN) and neural networks. It uses the default of credit card clients dataset, containing information on 30,000 clients.
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This notebook explores different machine learning techniques for predicting credit card payment defaults, with a focus on k-Nearest Neighbors (kNN) and neural networks. It uses the default of [credit card clients dataset](https://www.kaggle.com/datasets/uciml/default-of-credit-card-clients-dataset), containing information on 30,000 clients.x
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