Machine Learning Approaches for Malware Detection in Cloud Portable Executable Files

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Screenshot of Machine Learning Approaches for Malware Detection in Cloud Portable Executable Files

Technologies Used

Python
Tkinter
Machine Learning
Scikit-learn
SVM
RF
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Project Overview & Abstract

This project is a desktop application built with Python that uses machine learning models like Random Forest and SVM to detect malware in software files. Its graphical interface allows you to load data, train the models, and visually compare their performance in identifying threats.