Using Random Forest and LSTM, Abraham Duplaa demonstrates how OmniSciDB and OmniSci Immerse complements the PyData ecosystem of data science tools.
Blog posts by Abraham Duplaa
In this sequel post to analyzing San Francisco traffic, we include incident data as well as weather data. OmniSci is used to uncover meaningful insights, such as finding accident patterns and identifying the most dangerous intersections in the Bay Area.
OmniSci can be used to navigate and analyze years of fine grain traffic data. This post analyzes San Francisco traffic from 2015-2019, showing an increase in congestion in key commuting routes.