Apply linear algebra concepts in a comprehensive, real-world project for an insurance company. You will solve classification, regression, and data privacy problems using vector distances, matrix operations, and custom models.
Outcomes
By the end of this module, you will be able to:
- Identify similar customers using distance metrics.
- Build prediction models for business decision-making.
- Apply Linear Regression to forecast outcomes.
- Design a data masking algorithm using matrix transformations.
- Demonstrate that data obfuscation preserves model performance.
Tools you will practice with:
Python • NumPy • pandas • scipy