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Personal data encryption

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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:

  1. Theory part: matrices, matrix multiplication
  2. Building a data encryption algorithm
  3. Building Linear Regression model

Data description

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

Task

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

Libraries used

pandas numpy matplotlib seaborn scipy random