laconicllama / google-locations

This code accompanies the ShmooCon 2018 talk: "OK Google, Tell Me About Myself." With this code, I attempt to infer information about my daily life (i.e., identify significant locations in my life such as home, when I am most likely to be home) using a Location History file downloaded from https://takeout.google.com/settings/takeout . I specifically downloaded the Location History file in KML (Keyhole Markup Language) format.
MIT License
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google-locations

This code accompanies the ShmooCon 2018 talk: "OK Google, Tell Me About Myself." With this code, I attempt to infer information about my daily life (i.e., identify significant locations in my life such as home, when I am most likely to be home) using a Location History file downloaded from https://takeout.google.com/settings/takeout . I specifically downloaded the Location History file in KML (Keyhole Markup Language) format.

The code is presented lab notebook-style, as a Jupyter notebook. You will need to ensure that the following packages are installed in your Python environment: xml, dateutil, geopy, sklearn, numpy