Judicious use of predictive analysis has empowered health insurers to improve their premium pricing accuracy, create customized health insurance plans and services, and build stronger customer relationships.
Thus, the main goal of this project is to predict the insurance premiums based on the behavioral data collected from the individuals so that insurance companies can make useful and accurate predictions. Based on these predictions, they can then evaluate the following decisions and make better judgement calls:
• Which individuals deserve which kind of insurance plan?
• Based upon an individual’s behavior, predicting their premium helps in better risk management.
- Dataset
- Demo Video
- High Level Document
- Low Level Document
- Wireframe Document
- Details Project Details
- Deployed Application
To deploy this project run following command
pip install -r requirements.txt heroku login git add . git commit -m "Initial commit" heroku create premiumml git remote -v git push heroku master- Light/dark mode toggle
- Live previews
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- Cross platform
Install my-project with npm
pip install sklearn pip install flask pip install MySQL