Created a prediction system for Medical Insurance Cost

[surya-moorthy]

Medical Cost Prediction

• [* ] CSSOC 2024 Participant
• [* ] Contributor

Closes: #569 Medical Insurance Cost Prediction

add-ons

I have made a Machine Learning for Medical Insurance Cost Prediction by comparing different machine learning algorithms.
steps followed:
data preprocessing: splitted numerical and categorical variable and preprocessed using StandardScaler and OnehotEncoder
model training:
trained with Linear Regression, Decision Tree Regression, Random Forest Regression, Gradient Boosting Regression and ensemble as voting regressor as optional
result: evaluated with MSE MAE and r2 score , Gradient Boosting Regression gave low MSE(18790018.23) , MAE(2410.57) and high r2 score(0.8790)

Checklist:

• [ *] My code follows the guidelines of this project.
• [* ] I have performed a self-review of my own code.
• [* ] I have commented my code, particularly wherever it was hard to understand.
• [ *] I have made corresponding changes to the documentation.
• [ *] My changes generate no new warnings.
• [ *] I have added things that prove my fix is effective or that my feature works.
• [ *] Any dependent changes have been merged and published in downstream modules.

[welcome]

Hello there! 👋 Welcome to the project! 💖
Thank you and congrats 🎉 for opening your first pull request. Please adhere to our Code of Conduct. 🙌🏻 We will get back to you as soon as we can. 😄

Feel free to get in touch with me through social media handles. Hope to see you there!😄