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Malware Classification with Machine Learning

By: Austin Hale

This notebook uses a dataset of information from Kaggle which can be found at: https://www.kaggle.com/code/sankethiyer/malware-classification-clustering

The goal of the project is to train a model to successfully classify between benign activity and malware from the given data using 4 different machine learning algorithms:

  • Unsupervised (Clustering)
    • K-Means
    • Agglomerative Clustering
  • Supervised (Classification)
    • KNN
    • Random Forest