K-Nearest Neighbours

Transcript

1. Welcome to the Covid Coding Program
2. Let’s Start Basics of Machine Learning! I’m, Charmi Chokshi An ML Engineer at Shipmnts.com and a passionate Tech-speaker. A Critical Thinker and your mentor of the day! Let’s connect: @CharmiChokshi
3. What you did today?
4. I developed a new hobby!! reading personalities!!
5. Tell me about your friends...
20. What is the value of k here?
21. And it’s a tieeeeee?
22. Following are the 3 approaches to resolve this tie, 1. Keep on decreasing k by 1 till it resolves a tie 2. Feature weighting 3. Cross Validation
25. Let’s Code it!! https://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-pyt hon-from-scratch/
26. Thank You!