The insurance industry is one of the most competitive and less predictable business spheres. It is instantly related to the profile risk of the user. Determining the insurance charges is a challenge in itself because it really depends on several factors, especially on users side.
Through this project, the variables that have a relationship with the user's health bill will be analyzed. From personal data containing variables of gender, age, place of residence, number of children, BMI value, and whether he smokes or not, it will be seen the relationship of each variable to the value of insurance charges.
https://www.kaggle.com/datasets/teertha/ushealthinsurancedataset
Analysis: Python
Visualization: Seaborn, Matplotlib
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent