KNN Algorithm Explained: The Complete Guide to Classification & Regression 📊

Hello ALL, In this video we are going to learn about first machine learning algorithm. We are going to discuss everything from intuition to how to decide K in KNN algorithm.
Crack Data Science Interview:
1. Top 5 interview questions(Part-01): https://www.youtube.com/watch?v=ru9k34lFLUg&t=1s
2. Top 5 interview questions(Part-02): https://www.youtube.com/watch?v=CkyCq_CQ3F4&list=PLwceW-ck1usc-t-cOAswdkhHoM6t8f-Yc&index=2
3. Top 5 interview questions(Part-03): https://youtu.be/X9Fgi24khvo
4. Top 5 interview questions(Part-04): https://youtu.be/cXfEUAENyWE
5. Top 5 interview questions(Part-05): https://youtu.be/0Uc45u7me14
6. Top 5 interview questions(Part-06): https://youtu.be/zUK2wnN6Gyo
7. Top 5 interview questions(Part-07): https://youtu.be/k-cfFhUgitk
8. Top 5 interview questions(Part-08): https://youtu.be/F0DqIoWB8tg
Linear Regression:
1.Linear Regression Assumption: https://www.youtube.com/watch?v=PFoX5EcwpGE&t=448s
2.Covariance and Correlation: https://www.youtube.com/watch?v=yUWTRpy9RE4&t=34s
3.Measure the quality of fit: https://www.youtube.com/watch?v=SF4y7pIwpZo&t=159s
4.Coefficient of correlation and coefficient of determination: https://www.youtube.com/watch?v=y4vSDLliyZE&t=4s
5. Implementation of Linear Regression code with Numpy: https://www.youtube.com/watch?v=6ejTf0_oxaE&t=746s

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