Back to search
Top Contributors
17
commits
This project uses regression analysis to predict healthcare insurance costs based on multiple features including age, sex, BMI, number of children, smoking status, and geographic region. The model aims to help understand the key factors influencing insurance premiums and provide accurate cost predictions.
Stars
0
Forks
0
Watchers
0
Open Issues
0
Overall repository health assessment
No package.json found
This might not be a Node.js project
17
commits
Refine header: full viewport width stretch and increase fonts to 180px/48px
241379cView on GitHubEnhance header styling: full-width container, larger fonts in pixels, and improved whitespace
d66c138View on GitHubdocs: Delete deployment guides and add live app link to README
e1d2250View on GitHubstyle: Make InsureAI text white and remove header shining effects
0f084f9View on GitHubfix: Add runtime.txt for Python 3.11 and update Streamlit to 1.31.1
f7a567fView on GitHubfix: Remove all TensorFlow references for Streamlit Cloud deployment
0ad3482View on GitHubfix: Remove TensorFlow dependency and add Streamlit Cloud config
1f41f13View on GitHubdocs: Add comprehensive Streamlit Cloud deployment guide
8f65904View on GitHubfeat: Production-ready Streamlit application with fixed paths and deployment ready
69acac9View on GitHub