Analysis of a dataset using different techniques to train and evaluate models with unbalanced classes, aimed at reducing bias and predicting accurate credit risk.
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Updated
Feb 3, 2022 - Jupyter Notebook
Analysis of a dataset using different techniques to train and evaluate models with unbalanced classes, aimed at reducing bias and predicting accurate credit risk.
An editable encoding for malware development project, to increase the undetectability of AVs (the static detection)
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