Automation of Health Insurance Prefiction and Fraud Detection
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Eoxygen

Creating a model with an Accuracy of 98.9% to correctly depict and make decisions via suitable models and automate the Prefiction of Health Insurance service. 

Challenge
Maintenance of a highly accurate model for the amount of data leading to flawless fraud detection and automation.
Expertise Areas

Python, Django

Date

October, 2020

Client

Eoxygen

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