https://github.com/gokulnpc/medical-insurance-cost-prediction
This web app is created to predict the medical insurance cost based on the user inputs such as age, sex, BMI, children, smoker and region. The model used in this web app is a Random Forest Regressor model. The model is trained on the Medical Insurance dataset from Kaggle. The dataset contains 1338 rows and 7 columns.
https://github.com/gokulnpc/medical-insurance-cost-prediction
machine-learning random-forest-regression regression-models streamlit
Last synced: about 2 months ago
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This web app is created to predict the medical insurance cost based on the user inputs such as age, sex, BMI, children, smoker and region. The model used in this web app is a Random Forest Regressor model. The model is trained on the Medical Insurance dataset from Kaggle. The dataset contains 1338 rows and 7 columns.
- Host: GitHub
- URL: https://github.com/gokulnpc/medical-insurance-cost-prediction
- Owner: gokulnpc
- Created: 2024-03-17T09:04:22.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-17T09:07:41.000Z (about 1 year ago)
- Last Synced: 2025-02-02T03:44:56.639Z (4 months ago)
- Topics: machine-learning, random-forest-regression, regression-models, streamlit
- Language: Jupyter Notebook
- Homepage: https://medical-insurance-cost-prediction-gokulnpc.streamlit.app/
- Size: 1.22 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Medical Insurance Cost Prediction
This web app is created to predict the medical insurance cost based on the user inputs such as age, sex, BMI, children, smoker and region. The model used in this web app is a Random Forest Regressor model. The model is trained on the Medical Insurance dataset from Kaggle. The dataset contains 1338 rows and 7 columns. The model is trained to predict the medical insurance cost based on the user inputs. The model is deployed using Streamlit web app.
