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Tiny smart data modelled with a not-so-tiny smart model – the Case of SAP

1
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One thought on “Tiny smart data modelled with a not-so-tiny smart model – the Case of SAP

  1. 1
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    Excellent work team!

    The most difficult part of this challenge is to understand the data, create new features and rerun the predictive models till you achieve a good accuracy.
    As you may mentioned if you run a predictive model with the initial dataset you will get an extremely low modelling accuracy.

    I will vote based on the below criteria:
    1. business understanding
    2. feature engineering
    3. modelling accuracy
    4. insights & final results

    You achieved a fair modeling accuracy and you created a number of new features based on your good understanding of the data and the business case.
    You could further increase the accuracy of the model by implementing a better base price algorithm and by identifying the base volume

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