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Machine Learning for Malware Detection by vikram k is a document available to read on EtoBox.

What is Machine Learning for Malware Detection about?

This document summarizes a machine learning project to detect malware. It provides background on malware threats and harmful effects. A dataset from Microsoft containing over 8 million observations is described, along with key features. Pre-processing steps included dealing with missing values, removing unnecessary features, and combining features. Algorithms tested included logistic regression, LASSO regression, decision trees, and gradient boosting decision trees. The goal is to build a model to predict m

Author

vikram k

Language

EN