Data Science Project-All State Insurance Claims Severity Prediction

Data science project in R to 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 the model using R

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.

Prerequisites

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.

In this data science project, you will develop automated methods for predicting the cost, and severity, of claims.

Instructors

Pradeepta

Curriculum For This Mini Project

Import Data Files