Introduction
In this project, you will learn how to implement the Minkowski distance function, a generalized distance metric that includes commonly used distance measures like Euclidean and Manhattan distances. You will also learn how to test and refine the function, as well as how to integrate it into a larger project.
🎯 Tasks
In this project, you will learn:
- How to implement the Minkowski distance function in Python
- How to test the Minkowski distance function with different input parameters
- How to refine the Minkowski distance function to handle edge cases
- How to integrate the Minkowski distance function into a larger project
🏆 Achievements
After completing this project, you will be able to:
- Calculate Minkowski distances between two points
- Handle different types of input parameters for the Minkowski distance function
- Test and refine a function to improve its robustness
- Integrate a custom function into a larger project
