Predicting NYC Lifelines is an interactive platform that allows users to explore the block group-level life expectancy in New York City predicted through machine learning, making this critical health data more accessible and understandable for the public. An algorithm called Random Forest Regression was used to train the predictive model and predict the life expectancy at the block group level, and this prediction results was transformed into a publicly accessible interactive visualization platform.
