Wrap Up: Partitioned Models

Congratulations!

You’ve just completed the Partitioned Models course, where you used your experience in creating machine learning models to create a partitioned model. Here are a few of the main takeaways from this course:

• The Design tab is where you configure partitioned models.

• Partitioned model results can provide rich details about how the characteristics of a specific subgroup, or partition, of the dataset, such as a specific country, impact the target variable.

• A partitioned model can result in a higher-performing model if the data partitions draw different patterns over the features.

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Continue your ML Practitioner learning journey with courses that cover topics like statistics, image classification, and time series.