A Bayesian Approach to Analyzing the Road Fatalities in India

• Tech Stack: Python, Netica

Utilized Netica to construct a Bayesian network aimed at predicting financial losses due to road accidents. This approach encompassed a comprehensive analysis of various factors contributing to road fatalities, enabling a more informed assessment of the financial impact of such incidents.

Executed detailed sensitivity analysis to evaluate the impact of different variables on the predicted financial losses from road accidents. This involved systematically varying parameters within the Bayesian model to understand their influence on the outcome, thereby enhancing the accuracy and reliability of the predictions.