Python – Map Visualization with Basemap

Many datasets have location information – longitudes and latitudes. Census data, traffic data, landmarks data, etc. If we have data associated with locations, it may be very useful to display the locations on a map. This would not only allow us to visualize the locations of interest, but also follow trends and draw insights.

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Spectrograms

I have recently started learning about analyzing and modeling audio signals using Python.

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Earth from Space

I recently completed the 12-week Metis Data Science bootcamp in Chicago. This post is focused on my capstone project, which is a client based project for DigiatlGlobe, a commercial vendor for satellite imagery. It involves analyzing DigitalGlobe’s high resolution satellite data to obtain a detailed representation of land use on Earth.

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Weather, Time and Taxi Ridership

The ability to predict taxi ridership could present valuable insights to city planners and taxi dispatchers in answering questions such as how to position cabs where they are most needed, how many taxis to dispatch, and how ridership varies over time.

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