Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Created a Insurance_Cost_Predictor #166

Merged

Conversation

manikjain105
Copy link
Contributor

Description

In this model, I am predicting insurance costs based on user inputs like age, sex, BMI, number of children, smoking status, and region. I have been adjusting the code making the necessary modifications for accurate predictions and user interaction

Issue Resolved

This PR resolves #157 .

Changes Made

I worked upon refining the input handling for the insurance cost predictor, and ensuring that the model can process user inputs correctly to generate accurate predictions. Additionally, I adjusted the file structure and import statements to resolve module loading errors.

Checklist

  • My code follows the current project structure
  • I have thoroughly reviewed and updated the requirements.txt file to include any new packages
  • The predict.py file includes a properly implemented model_details() function, or the notebook contains this function to print a detailed model report. The model will not be accepted without this function, as it is essential for generating the necessary model details.
  • I have added relevant tests (if necessary).
  • I have added comments in the code where needed.
  • This PR is submitted under Hacktoberfest.
  • This PR is submitted under GirlScript Summer of Code (GSSoC-Extd).

@manikjain105
Copy link
Contributor Author

Now could you please tell me what's next

@yashasvini121 yashasvini121 merged commit 0b0fe7e into yashasvini121:master Oct 26, 2024
1 check passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Medical Insurance Cost Predictor
2 participants