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 #knncitynews #machinelearning #classifiaction #regression #howtodecideKinKNN