Wrap Up: Scoring Basics


You’ve just completed Scoring Basics where you gained experience in applying prediction models to unseen data in Dataiku. Here are a few of the main takeaways from this course:

  • You learned the workflow for deploying a trained model from the Lab to the Flow.

  • You saw why it was important for the labelled and unlabelled data to have the exact same features and how it can be done in Dataiku.

  • You used the Score recipe to generate predictions for unlabelled data.

  • You saw how a validation set and the Evaluate recipe can be key tools for managing the active version of a model.

Learn more

Continue your AI learning journey with other courses in the ML Practitioner Learning Path, including courses on topics like statistics, image classification, natural language processing, and time series.