Analyzing US Traffic Accidents

A deep dive into automobile accidents and fatalities using a data science approach to provide insights and understanding of the patterns, causes, and trends of traffic incidents in the United States. Involves collecting and analyzing data from a variety of sources to uncover key trends in historical occurrences. In addition to providing insights into past incidents, data science can also be used to predict certain aspects of traffic incidents. Predictive modeling techniques can be used to identify patterns and relationships in the data and make predictions about future incidents based on past trends and patterns.