This project works on predicting malware types based on commands dataset. In predicting, firstly we calculate word importance using TFIDF, then followed by doing a comparison of the most optimal machine learning model. The compared machine learning model is Logistic Regression, Light Gradient Boosting Machine (LGBM), dan K-Nearest Neighbor.
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sam-marhaendra/malware-classification
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This repository is created for a project from Natural Language Processing course.
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