SLIIT 1st year second semester university project using HTML, CSS, JS, PHP for a health insurance management system
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Updated
May 11, 2024 - PHP
SLIIT 1st year second semester university project using HTML, CSS, JS, PHP for a health insurance management system
A classification in 3 different ways to make private health insurers more protected for maximum profit.
Health Insurance website using MERN stack
U.S. Healthcare Transparency Data. Supplemental data for the CMS/HHS price transparency rules.
This repository contains an in-depth analysis of Oxy health insurance dataset, providing valuable insights into various factors affecting insurance charges.
For demonstrating documents, industries, and languages
Medical insurance cost prediction react and fastapi progressive web application.
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.
Deriving insights for Employee health expenditure planning
Exploring multiple linear regression methods and techniques while trying to predict the cost of health insurance for a set of individuals using R.
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