/Malware-Detection

Malware Detection is a Kaggle Competition held privately which detects the probability of a machine being infected with malware or not given various features of each machine.

Primary LanguageJupyter Notebook

Malware-Detection

The malware industry continues to be a well-organized, well-funded market dedicated to evading traditional security measures. Once a computer is infected by malware, criminals can hurt consumers and enterprises in many ways. We need to detect whether the given system is infected with malware(HasDetections) or not given various features of the data. It's a Kaggle competition being held privately.

#VISUALIZATION

Various Visualizations and EDA of the data are done using Seaborn and Matplotlib Libraries

METRIC FOR EVALUATION = AUCROC

#Models Implemented

  1. XGBClassifier
  2. CatBoost