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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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Medical Charges Analysis for Smokers and Non-smokers #85

Closed abhisheks008 closed 3 years ago

abhisheks008 commented 3 years ago

Hello admin, In this project I would like to use several machine learning models and also will do an Exploratory data analysis about both the nonsmokers and smokers and after that I will analyze both of the categories based on the features like,

  1. gender wise analysis
  2. Cost wise analysis
  3. age distribution
  4. 18+ years old smokers and their medicine charges
  5. Smoker parents who have children in their home
  6. Health effects on the children.

Now talking about the algorithms, the following algorithms will be used here,

  1. Linear Regression
  2. Polynomial Regression
  3. Lasso and Ridge regression
  4. Random forest regression
  5. Decision Tree regression
  6. SVM

Using these algorithms I will make a comparative analysis for all those algorithms and predict the average medical charges for the smokers as compared to the non-smokers. The comparative analysis will be based on the factor of Cross validation score.

Dataset collected from kaggle website named as insurance.csv

After this I will make a prediction model which will predict the average medical charges for the smokers. This project will consist the back end and the model creation work.

Please assign me this project work, I will contribute in this successfully.

abhisheks008 commented 3 years ago

Thanks! @Niketkumardheeryan