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Modeling Car Insurance Claim Outcomes

IntermediateSkill Level
4.8+
1,054 reviews
Updated 11/2024
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
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PythonMachine LearningProbability & Statistics1 hr1 Task1,500 XP11,559

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Project Description

Modeling Car Insurance Claim Outcomes

Machine learning is very popular in the insurance market, which has long been renowned for being data-driven. Working on behalf of On the Road car insurance, you'll investigate their customer data to identify the feature that produces the most accurate logistic regression model for them to predict whether a claim will be made against a policy!

Modeling Car Insurance Claim Outcomes

Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Start Project
  • 1

    Find the most accurate feature to predict whether a car insurance claim will be made!

Don’t just take our word for it

*4.8
from 1,054 reviews
85%
15%
0%
0%
0%
  • Jaroslav
    4 hours ago

  • Houssem
    5 hours ago

  • Jonathan
    yesterday

  • Ahmed
    yesterday

  • Monica
    2 days ago

  • Takahiro
    3 days ago

    it is a project that using logistic regression model to calculate accuracy between the target value with the other feature column. Final lesson in the class of regression model is really helpful.

Jonathan

Ahmed

Monica

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