K-Nearest Neighbours

Transcript

1. Welcome to the
   Covid Coding Program
   

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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
   

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3. What you did today?
   

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4. I developed a new hobby!!
   reading personalities!!
   

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5. Tell me about your friends...
   

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20. What is the value of k here?
    

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21. And it’s a tieeeeee?
    

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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
    

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25. Let’s Code it!!
    https://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-pyt
    hon-from-scratch/
    

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26. Thank You!
    

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