Naive Bayes Classifier | Part 1 | Conditional Probability
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- Опубліковано 16 січ 2025
- In this video, we will learn the concept of conditional probability About CampusX:
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Small correction. P(D1=5) is 1/6 and not 1/36.
Small oversight
Minute 3:35 onwards
yes you are right
yep
i think d1 is marked as it is dice one
Best content👍
3:35 , P(D = 5) , should be 6/36 or 1 /6
not 1/ 36
BTW great Explanation
First time I understood this formula, thank you
Great Explanation. You are having the best skills as a teacher !!!
Ram Ram Sir. Thanks for this amazing explanation 🙏
Would not it be the probability of getting D1 be 1/6 as the column corresponding to D1 has 6 spaces so 6 chances of occuring??
(D1,D2):{(5,1),(5,2),(5,3),(5,4),(5,5),(5,6}...
I am confused on this...Please help..
It should be 1/6. There is a mistake
@@campusx-official Now clearified😊😊...Your videos are really intuitive...☺️☺️☺️☺️
Awaiting for videos on SVM,Deep Learning and NLP....Hopefully you are planning to make them also...
@@campusx-official
You are great teacher for me and for sometimes , I became confuse.
But thanks in many ways.
Suggestion for rearrangement: The order needs adjustment: Video 117 should be placed before Video 116 regarding the kernel trick, or simply swap the videos for these indices.
Thank You Sir.
Sir aap mahaan ho.
p(D1=5) should be 6/36=1/6
P(Dice-1 = 5) will be 1/6 and not 1/36 since there only 6 possible values that dice-1 can take (that is from 1 to 6). Dice-1 can't take any value from 7 to 36. There are only 6 faces in the dice... 1 to 6
Sir salam hai aapko
Dear proffessor i appriciate the way of your teaching, but while you are explaining some time suddenly you change your language to indian. keep in mind that your viewers are not only indian but also international students. so please try to use english language in all of your lectures. Thank you