Machine Learning in Global Terrorism Analysis

Created using ChatSlide

This presentation, titled by Aakarshit Yadav, explores the Global Terrorism Dataset's relevance in security analysis and counter-terrorism efforts through machine learning. It begins with the significance of analyzing terrorism trends and predicting future threats, emphasizing the associated security challenges. The goals include data visualization, trend prediction using ML algorithms, and pattern identification. Detailing the dataset, preprocessing methods, and handling missing data sets...