https://github.com/rakiiibul/auto_insurance_fraud

Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.
https://github.com/rakiiibul/auto_insurance_fraud

actuarial-science car-insurance data-mining datascience feature-engineering hyperparameter-tuning insurance-frauds machine-learning outlier-detection r-language rmd

Last synced: 5 months ago
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Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.

• Host: GitHub
• URL: https://github.com/rakiiibul/auto_insurance_fraud
• Owner: rakiiibul
• License: apache-2.0
• Created: 2023-01-03T21:18:21.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-01-24T08:49:23.000Z (over 2 years ago)
• Last Synced: 2024-08-13T07:11:25.900Z (9 months ago)
• Topics: actuarial-science, car-insurance, data-mining, datascience, feature-engineering, hyperparameter-tuning, insurance-frauds, machine-learning, outlier-detection, r-language, rmd
• Language: R
• Homepage:
• Size: 1.7 MB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• jimsghstars - rakiiibul/auto_insurance_fraud - Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use th (R)

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# actuarial_science