• Machine Learning & Artificial Intelligence
    Porini Lab as a Service | 002

    In partnership with Microsoft


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The aim of this lab is the construction of a Machine Learning algorithm to predict trail travel time by means of their topological characteristics. Azure Machine Learning Pipelines will be used to: pre-process the data, train a Machine Learning model and analyze the accuracy of the trained model. The algorithm will then be made accessible via an endpoint and such endpoint will be used to predict the travel time for all the trails contained in the dataset. The results can be then explored with a report on Microsoft PowerBI.


– Basic knowledge of Machine Learning algorithms.
– Basic knowledge of Python and PowerBI is suggested but not necessary.

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