💡[Feature]: Medical Charges for Smokers and Non-smoker

[pavitraag]

Is there an existing issue for this?

• I have searched the existing issues

Feature Description

This Data analysis and data visualization project consists of the fact that the average medicine charges can be changed for the smokers and non-smokers.

Algorithms Used for predicting the average medical charges for the smokers :
-Linear Regression
-Polynomial Regression of 2nd degree
-Lasso Regression
-Ridge Regression
-SVM or, Support Vector Machine
-Random Forest Regression
-Decision tree regression

Use Case

to find the average medicine charges can be changed for the smokers and non-smokers.

Priority

High

Record

• I have read the Contributing Guidelines
• I'm a GSSOC'24 contributor
• I want to work on this issue

[TAHIR0110]

@pavitraag do you have any dataset in mind for this? if yes, kindly provide that as well.

[pavitraag]

insurance.csv
This is the data I am going to use

[TAHIR0110]

@pavitraag assigned!!