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