Create K-Nearest Neighbor in Python from scratch Part -3: Calculate the Distance

In this exciting part of our KNN series, we'll tackle a crucial step: calculating distances!

The Power of Distance:

Understand the importance of distance metrics in KNN – how they measure the "closeness" between data points.
Explore the most commonly used distance metrics for KNN, like Euclidean distance
Implement distance calculation functions in Python for these metrics.

By the end of this video, you'll be able to:
Explain the role of distance metrics in KNN. Implement functions to calculate distances between data points in Python using common metrics.

🔔 Don't Forget:
Like this video if you found it helpful!
Subscribe to my channel for more tips and tutorials.
Comment below with your project ideas or any questions you have. I’d love to hear from you!

Hope you Enjoyed the video😊

Subscribe to @codingbakht and get more content about coding 🤓🤓
___________________________________________________________
Follow me at
Facebook:

/ codingbakht

#machinelearning #pythonprogramming #pythonforbeginners #KNN #numpy #sklearn #pythontutorial