This project aims to predict the severity of airplane accidents using machine learning. The model analyzes various flight, safety, and environmental features to classify accidents into different severity categories, helping to assess risk and prevent future incidents.
Advanced exploratory analysis in Python using supervised and unsupervised machine learning to understand the dimensions of global disaster risk.
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