We explore and analyse malware data (around 200GB) provided by Microsoft and build Machine Learning multi class classification models to classify said malware files into it's respective category with high precision and recall.
A multi-class classification problem where the task is to classify a file to one of 9 types of Malware usually found in a Windows system, using information from the raw data and metadata of the file.
Microsoft Malware Classification using Machine Learning
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