AutoML Model Design

In these resources, you will learn about creating models within the visual ML tool. You’ll learn about automated options for quickly building prototype models, as well as how to customize them in a wide variety of ways.

Tip

You can find this content (and more) by registering for the Dataiku Academy course, Machine Learning Basics. When ready, challenge yourself to earn a certification!

Concepts

• Concept | Quick models in Dataiku
• Concept | The Design tab within the visual ML tool
• Concept | Features handling
• Concept | Multimodal ML using LLMs
• Concept | Feature generation & reduction
• Concept | Algorithm and hyperparameter selection
• Concept | ML diagnostics
• Concept | ML assertions

Tutorials

• Tutorial | Machine learning basics
• Tutorial | Model overrides
• Tutorial | ML diagnostics
• Tutorial | ML assertions
• Tutorial | Clustering (unsupervised) models with visual ML
• Tutorial | MLlib with Dataiku

How-tos

• How-to | Distributed hyperparameter search

FAQs

• FAQ | How does the AutoML tool automatically select or reject features when training a model?

Troubleshoot

• Troubleshoot | In visual ML, I get the error “All values of the target are equal” when they are not

Examples

• Example | Prediction of apartment prices in Dubai