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iamshubh29/Medical_Insurance_Cost_Prediction

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This project predicts insurance costs based on various input features, such as age, sex, BMI, children, smoker status, and region. The model was trained using historical insurance data to help individuals or insurance providers estimate potential costs for specific profiles.

active 2024-10-252024-10-25 (UTC)

Complete coverage27,204 / 27,206 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
Events
7
Pushes
5
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-10-25 to 2024-10-25. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
iamshubh295500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.