[email protected] PyDataLondon 2016
@IanOzsvald @gilesweaver
Features - Augmentation
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Weather & Pollution
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Raw data
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Create moving averages, rolling sums, standard
deviations, differences of moving averages (for
directionality) to smooth out days of noisy signal
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MyFitnessPal - extract alcohol use (from text strings)
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Feature set - row of relevant values (e.g. humidity,
temperature, alcohol usage) and AH usage as binary
Target (True or False)
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Oyster - bus and London Underground usage per day
github.com/ianozsvald/london_oyster_pdf_to_dataframe_parser