Predict technical prices based on historical claims data¶

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This accelerator focuses on insurance pricing, leveraging historical claims data for modeling and analysis. The primary objective of this notebook is to enable insurance professionals and data scientists to predict insurance pricing accurately and efficiently with the DataRobot platform.

In this accelerator you will accomplish the following:

• Set up the environment for insurance pricing modeling.
• Import the necessary libraries and emphasize data preparation for use with DataRobot.
• Visualize the distribution of claim amounts.
• Create two options for modeling workflows for the insurance pricing project: Pure Premium vs. Frequency and Severity.
• Explore different feature lists and model customization.