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All State Insurance Claims Severity Prediction

In this project, we will develop automated methods for predicting the cost and severity of insurance claims.

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What will you learn

  • Basic exploratory analysis using the claims data
  • Insights from exploratory data analysis
  • Factors to be considered for claims processing and severity prediction
  • Implementation of model using R or Python
  • Building smarter predictive models including XGBoost

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.


  • Language used: R

Project Description

When you’ve been devastated by a serious car accident, your focus is on the things that matter the most: family, friends, and other loved ones. Pushing paper with your insurance agent is the last place you want your time or mental energy spent. This is why Allstate, a personal insurer in the United States, is continually seeking fresh ideas to improve their claims service for the over 16 million households they protect.

Allstate is currently developing automated methods for predicting the cost, and hence severity, of claims.