https://github.com/techshot25/healthcare

Insurance cost predictor
https://github.com/techshot25/healthcare

bayesian-regression data-analysis data-science linear-regression machine-learning polynomial-regression random-forest-regression

Last synced: about 1 month ago
JSON representation

Insurance cost predictor

• Host: GitHub
• URL: https://github.com/techshot25/healthcare
• Owner: techshot25
• License: mit
• Created: 2019-01-26T15:40:55.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-28T05:34:01.000Z (almost 6 years ago)
• Last Synced: 2023-12-23T05:25:10.681Z (almost 1 year ago)
• Topics: bayesian-regression, data-analysis, data-science, linear-regression, machine-learning, polynomial-regression, random-forest-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 1.4 MB
• Stars: 13
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# HealthCare

This includes a dataset representing insurance costs for individuals. It uses information such as age, sex, bmi, and smoking habits to determine the cost on the insurance company for that person.

The idea is to present a machine learning model that predicts the cost with the highest accuracy.

Documentation and code provided in the file: `HealthCare.ipynb`. If GitHub cannot render the file [click here](https://nbviewer.jupyter.org/github/techshot25/HealthCare/blob/master/HealthCare.ipynb).