Predicting health insurance cost from Morality data using Machine Learning techniques

📦 Un Design System pour l’Assurance Maladie

An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.

This project explains on how to build a machine learning algorithm for calculating the medical insurance costs. Check out my video on this topic for the complete video explanation.

Hearti.ai is a AI health insurance agent Saas prototype. Full Stack ChatGPT Integrated NextJS Saas prototype with NextAuth Oauth2, Google, Okta providers, Supabase NextAuth plugin for user session storage, Google Fitness API, ACA Marketplace API,

A small notebook to walk through if shared or individual plans are a better choice

This Python collection provides come samples of developed systems in the Python programming language.

What accounts for the wide gap in health insurance rates between rural and urban counties?

Useful things for work with health insurance.

To predict whether the Health insurance policy-holders (customers) from past year will also be interested in Vehicle Insurance provided by the company.

Work in progress mapping health insurance coverage from ACS data.

Market analysis on Oscar as an insurtech startup. Unique advantages and approaches to solve problems are placed in the industry landscape. Recommendation is to develop a holistic smart app.

This project helps the community to set their health as the first preference over wasting a lot of time on analyzing the health insurance premiums.

Prediction modelling for a pet health insurance company called Trupanion. Originally written for a job application as a data scientist at Trupanion, now being modified to play around with clustering algorithms.

An insurance company wants to start selling vehicle insurance to the customers that already have health insurance. They believe that one of the ways to reach as many customers as possible with the least amount of calls is to make a machine learning model that sorts the list of customers to maximize the amount of contracted services.

🗃️ A Vue CLI preset to generate scaffolded CNAM front-end projects

The "US Medical Insurance Costs" project explores and analyzes a dataset containing medical insurance costs for patients in the United States. The project was completed as part of the Codecademy Data Science Career Path.

Golang X12 parser, validator and transformer

Health insurance marketplace data used in April 2017 story