Good lectures but one more mistake. On Skewness it says if it is simmertic, data is normally distributed. There are other symetric distributions other then normal, like uniform. ?
Video is good... Would like to say that the voice is a little bit down if you can improve that then great! Thank you successfully i completed the 2nd part.
Simply amazing teaching, will definitely recommend to others. Competition to krish naik.
Your lecture is like dream to me. So the journey continues.........
The best tutorial I ever seen on youtube. thank you very much.
Wow, thanks!
Great lecture.........Thank you for your time, efforts, and extraordinary teaching methodology.
You are welcome!
Excellent work sir❤ ..sir now can please make project based on the statistics we learned in these videos ..it will strengthen our knowledge in stats
Statistics concepts are widely used in ML, NLP, DL, so its difficult to create projects on statistics :)
Best tutorial & you explain the complex topics in very easy simple language 😊
Thanks a lot 😊
Such nice tutorial good job👍
Thank you! Cheers!
very nice explaination
Good lectures but one more mistake. On Skewness it says if it is simmertic, data is normally distributed. There are other symetric distributions other then normal, like uniform. ?
Great explanation.
Glad it was helpful!
use openvino to fine tune models which can be used on cpu only pls pls
25:09
4+1= 5 also possible.
🙏thank you sir
Error in binomial distribution. Should be n-x in power of 1-p
❤
Video is good... Would like to say that the voice is a little bit down if you can improve that then great! Thank you successfully i completed the 2nd part.
Yes in some videos it is bit off, but if u use a headphone it sounds fine, thanks for the feedback
Thanks ❤
💪💪
Tnx
Also diagram for binomial does not look right. Since it goes beyond 5 and we only had 5 trials.
@@bifurman can you please tell me the exact time
@@SatyajitPattnaik 58:30. Since we only have 5 trials, we should not go beyond 5 in distribution, I think.
95%
1
🖤🤗