Predict technical prices based on historical claims data

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This notebook serves as a comprehensive guide to the intricate world of 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 DataRobot platform.


This accelerator does 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 list and model customization
Version history
Last update:
‎02-15-2024 02:56 PM
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