https://github.com/csoren66/medical-cost-prediction

https://github.com/csoren66/medical-cost-prediction

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/csoren66/medical-cost-prediction
• Owner: csoren66
• License: apache-2.0
• Created: 2022-10-25T05:56:14.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-25T06:11:55.000Z (over 2 years ago)
• Last Synced: 2025-01-13T19:52:00.310Z (5 months ago)
• Language: Jupyter Notebook
• Size: 3.18 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Medical Insurance Cost Prediction




  
Medical Insurance Cost Prediction using Random Forest Regressor.




  



                                   

## :innocent: Motivation

To predict things have been never so easy. I used to wonder how Insurance amount is charged normally. So, in the mean time I came across this dataset and thought of working on it! Using this I wanted to know how few features determine our insurance amount! 

 

## :hourglass: Some Screenshots

![](https://github.com/csoren66/Medical-Cost-Prediction/blob/main/sampleImages/Cor.png)

![](https://github.com/csoren66/Medical-Cost-Prediction/blob/main/sampleImages/AgevsCharges.png)

![](https://github.com/csoren66/Medical-Cost-Prediction/blob/main/sampleImages/deployments.png)

## :star: Features



    
Exploring the dataset

    
Converting Categorical values to Numerical

    
Plotting Heatmap to see dependency of Dependent valeu on Independent features

    
Data Visualization (Plots of feature vs feature)

    
Plotting Skew and Kurtosis

    
Data Preparation

    
Prediction using Linear Regression

    
Prediction using SVR

    
Prediction using Ridge Regressor

    
Prediction using Random Forest Regressor

    
Performing Hyper tuning for above mentioned models

    
Plotting Graph for all Models to compare performance

    
Preparing model for deployment

    
Deployed model using Flask



## :key: Results

####  Model gave 86% accuracy for Medical Insurance Amount Prediction using Random Forest Regressor

## :file_folder: Dataset

The dataset used can be downloaded here (Kaggle) - [Click to Download](https://www.kaggle.com/mirichoi0218/insurance)

## :heart: Credits

Made with :heart:   by [Sahil Chachra](https://github.com/SahilChachra)

## :eyes: License

MIT © [Chandan Soren](https://github.com/csoren66/Medical-Cost-Prediction/blob/master/LICENSE)