Prediction systems

Datathon Kaufland Solution – Predictive Maintenance Based on Sensor Data for Forklifts

9
votes

2 thoughts on “Datathon Kaufland Solution – Predictive Maintenance Based on Sensor Data for Forklifts

  1. 0
    votes

    Positive Aspects
    —————————
    – good introduction
    – good flow
    – good aggregation of data on different levels
    – nice idea of SMOTE upsampling

    Negative Aspects
    —————————
    – layout of structure and “plan” missing
    – no cross validation
    – exploratory analysis of sensors missing
    – often explanations missing, which makes it hard to follow through
    – not quite clear to me which variables are used in classification method
    – no variable importance analysis
    – assumption of using stale machines as label is not quite solid as it could have been a planned routine maintenance/check, too

  2. 0
    votes

    Hello,
    To be able to understand for raw data, where can we find “20180920_Kaufland_case_IoT_and_predictive_maintenance.csv” file? I would be so glad if yo can share this csv file.
    Thanks so much.
    Best Regards

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