Wrap-up

And that’s a wrap!

The goal here was to build an end-to-end data product to predict car failures from a workflow entirely in Dataiku. 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 in a number of ways, such as:

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

• Trying different algorithms and hyper-parameter settings

Visit the Dataiku Academy for more courses and learning paths to increase your proficiency with Dataiku!