Skip to content

Detecting Fraudulent Cases in Life Insurance dataset using Machine Learning with Python. With the help of Machine Learning, we are able to detect and recognize thousands of patterns instead of the few captured by creating rules. Given various parameters such as policyholder age, vehicle value, vehicle type, etc., Machine Learning algorithms were…

Notifications You must be signed in to change notification settings

nburnwal09/Detection-of-fraudulent-cases

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Detection-of-fraudulent-cases

Detecting Fraudulent Cases in Life Insurance dataset using Machine Learning with Python. With the help of Machine Learning, we are able to detect and recognize thousands of patterns instead of the few captured by creating rules. Given various parameters such as policyholder age, vehicle value, vehicle type, etc., Machine Learning algorithms were applied to detect the major indicators which may lead to fraud cases in vehicle insurance.

About

Detecting Fraudulent Cases in Life Insurance dataset using Machine Learning with Python. With the help of Machine Learning, we are able to detect and recognize thousands of patterns instead of the few captured by creating rules. Given various parameters such as policyholder age, vehicle value, vehicle type, etc., Machine Learning algorithms were…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published