It is the main decision in this which we have to decide in iterations based on the error we get in classification. May be you could read this article to get a better understanding . towardsdatascience.com/how-to-find-the-optimal-value-of-k-in-knn-35d936e554eb
You could have taken a simpler example than using document etc. You began confidently, but once you started talking about document classes etc I see your confidence go down and lot of stammering.
A clear explanation is needed. This includes working step by step into the problem not explaining from a piece of paper...
Nice video. Best part is the voicein the video crystal clear and taking problems to explain the concept was nice
For regression, what if we only have 2 variables, for example age and weight only, then how we want to calculate euc distance? thank you
This is the example of 2 variables already. The third variable is being predicted so it's called label of your data not a variable.
I need your help in research paper
how the classes are assigned? Need clear explanation:(
Nearest 3 value after find Eucledian distance as we take k=3,then mean of that particular weight (p1,p6,p7)
Lovely video. I really enjoyed it.
How we choose k=3?..could you please give me the brief explanation
It is the main decision in this which we have to decide in iterations based on the error we get in classification. May be you could read this article to get a better understanding . towardsdatascience.com/how-to-find-the-optimal-value-of-k-in-knn-35d936e554eb
What if there is a categorical predictor in the data set mam? How the distance will be calculated?
I referred this video for that : ua-cam.com/video/HZT0lxD5h6k/v-deo.html
Can you make a video on T sne please mam?
thankyou! easy to understand it ;)
Good job 👏
Mam, clear explanation
thank you
Very beautifully explained , thanks a lot .
thank u mam.
Thank u mam
Awesome
You could have taken a simpler example than using document etc. You began confidently, but once you started talking about document classes etc I see your confidence go down and lot of stammering.
Jhant padhai hai