Prediction systems

Datathon Kaufland Solution – Team Total Kaputt! – Why da faQ the machine broke down?

Posted milena-piryankova, stephen, nike, bogomil-filipov, vasilmarchev, martinmarinov, sergeyvi4ev, michael-opitsch, penchodobrev, sist Mentors: junior, pepe

What we tried to do to solve the Kaufland case for the Global Datathon 2018. This article just contains our exploratory data analysis in the form of many plots and some explanations. There isn’t any modeling stage described here.

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3 thoughts on “Datathon Kaufland Solution – Team Total Kaputt! – Why da faQ the machine broke down?”

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    Positive Aspects
    —————————
    – good analysis
    – laid out ideas

    Negative Aspects
    ————————-
    – no modeling
    – plot interpretations and explanations missing
    – no finding/definition of proxy variable for downtimes

  3. 0
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