A classification in 3 different ways to make private health insurers more protected for maximum profit.

Exploring multiple linear regression methods and techniques while trying to predict the cost of health insurance for a set of individuals using R.

In this project, the goal is to use the Health Insurance Cross-Sell dataset to understand Vehicle Insurance Cross Sale Responses, apply machine learning techniques to identify Vehicle Insurance buyers among pre-existing policyholders and provide explanations from the best classifying model to understand factors affecting customer responses.

For demonstrating documents, industries, and languages

Deriving insights for Employee health expenditure planning

SLIIT 1st year second semester university project using HTML, CSS, JS, PHP for a health insurance management system

Medical insurance cost prediction react and fastapi progressive web application.

Health Insurance website using MERN stack

U.S. Healthcare Transparency Data. Supplemental data for the CMS/HHS price transparency rules.