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This is a Django web application that uses machine learning to predict whether a product will go on backorder or not. It uses a pre-trained Random Forest Classifier, Decision Tree and LGBM models to make predictions based on various features such as product availability, lead time, and more.
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This repo contains a python parser that processes the reports of several tools used to find XSS vulnerabilities. In specific this analyzer work with CaptureDOM, a capture the flag environment realized properly for this aim. The analyzer submits any level of CaptureDOM to each tool.
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