This project shows:
- ability of writing solid,structured Python code
- ability of using existing utilities(libraries) for processing and analyzing data.
- analytical and data pre-processing skills
- data visualization
- linear algebra application
- creating custom Linear Regression model
Project involves:
- Theory part: matrices, matrix multiplication
- Building a data encryption algorithm
- Building Linear Regression model
Data from insurance company. Each object represents the user information: gender, age, salary, family members for the last 5 years.
Column | Column type |
---|---|
Gender | feature |
Age | feature |
Salary | feature |
Family members | feature |
Insurance benefits | target |
The insurance company needs to protect user data. We need to encrypt personal information. We need to create data encryption algorithm so that after transformation, the accuracy of Machine Learning models will not change as without transformation
pandas numpy matplotlib seaborn scipy random