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Malware Detection Using ML Techniques by shubham is a document available to read on EtoBox.

What is Malware Detection Using ML Techniques about?

The document describes a malware detection project that involves using machine learning models to classify files as malware or benign based on static and dynamic analysis data. It provides three datasets for static analysis features, dynamic analysis features are split into two datasets. The project requires extracting features from the data, selecting important features, training classifiers, and outputting predictions on a test set with accuracy metrics. The deliverable is a Python program that takes anal

Author

shubham

Language

EN