And that’s a wrap! You can always find the completed project in the Dataiku gallery.

The goal here was to build an end-to-end data product to predict car failures from a workflow entirely in Dataiku DSS. Hopefully, this data product will help the company better identify car failures before they happen!

Once we have a single working model built, we could try to go further to improve the accuracy of this predictive workflow, such as:

  • Adding features to the model by combining information in datasets in more ways

  • Trying different algorithms and hyper-parameter settings

Also, to make the model more operational, it can be packaged and deployed through a REST API, to be consumed in real time by external applications. It is possible to do so using Dataiku DSS for an end-to-end deployment!