Thank u so much.I m so worried about covariance topic but your video is very helpful for me.
@WorldwideTrainSpotter
2 ай бұрын
You are a gem!
@malikyasir1607
4 ай бұрын
Thank u sir, great explaination
@abdulrafay2743
Жыл бұрын
Really great and easy bundle of thanks😇😇
@milonmitra3584
2 жыл бұрын
Doubts cleared. Thanks.
@anushkarawat910
7 ай бұрын
Thank you so much.!
@intau9538
2 жыл бұрын
Really amazing sir 👏
@vennelanelloru3056
2 жыл бұрын
Tqqq sir u saved me😊😊
@sanjananetam2832
2 жыл бұрын
😍😍😍 best video
@anushkarajput1097
Жыл бұрын
Thanks
@Tanveerkhan-sc7jf
2 жыл бұрын
Thanx bro
@arabshahrehman5739
Жыл бұрын
Thanks but I'm still in a confusion that how I will know data is increasing positively or negatively in this question I can't clear this
@khurafatipoint977
Жыл бұрын
Formula galat hai N hona chahiye N-1 nhi ❤
@krishnatrivedi5579
Жыл бұрын
N-1 is for Sample and N is for Population
@little_lune
2 жыл бұрын
amazing 👍👍
@bhagyaaundhakar5168
10 ай бұрын
Where is n and where is n-1
@RoshanSingh-dj5vh
Жыл бұрын
Where is gorkhalia army scene not added???? Sam is nothing without gurkhasss
@jayvijay3039
Жыл бұрын
Bhai video wapas banao n aaega sirf. N-1 nahi
@training.neerajsharma
Жыл бұрын
3 Normalization by N-1 is "correct" in the sense that the resulting estimator is unbiased. This means that if the sample number goes to infinity the covariance estimate approaches the true covariance. If you would normalize by N, the estimation has (slightly) lower noise but is biased, i.e. gives the wrong result if N approaches infinity. Note, that the above only applies if you don't know the mean value: In case you would know the mean values, normalization by N is correct (you have to plug in the correct means in the formula as well, of course). Ref: stackoverflow.com/questions/21559028/co-variance-normalize-by-n-or-n-1#:~:text=Normalization%20by%20N%2D1%20is,estimate%20approaches%20the%20true%20covariance.
@siddharthbirmecha9201
Жыл бұрын
n-1 nahi hota hai sirf n hota hai
@fairytail1405
Жыл бұрын
Yeah I was thinking the same, in my book it is written n and he was saying n-1 so I really confused 🤔 but the video gave an idea of how to do the sums 🙃
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