Linear Discriminant Analysis ( Numerical )

[@Yesiamwrong]

3:47 ok sir samjh gaya 😳

[@shyamnand5354]

in step 3 just apply the concept of eigen value & eigen vector

[@anuraggupta7954]

very nicely explained thank you

[@mukulsaini2961]

Simple after doing inverse of eigen value ,just multiple [x1 x2] with eigen value for every point, you will get LDA

[@HarshBenuskar]

after multiplication of the (x-mu)*(x-mu)T, why you have divied whole resultant matrix with 5, please reply

[@shlokmantri799]

Yes

[@DanishAnsari-y6l]

Cross multiplication baby

[@DanishAnsari-y6l]

What The Hell

[@rohanwarghade773]

lol

[@Yesiamwrong]

What the heaven

[@omkargupta5395]

VIT?

[@anchalkumari5832]

Best explanation !!!

[@PT-vv7et]

in w* , what is M1 and M2? sir please reply

[@crazysmile2476]

thankyou sir

[@gohildhruvin9969]

While calculating the S1 and s2 we need to always divide by 5 only??

[@MalikKhan-rm5jv]

That's the total number of observation (5), so for avg we divide it by 5

[@bhavyan24]

thank you sir

[@AyushMallick]

Which book is this ??

[@Nikam_Jayesh]

Thank you so much sir😊

[@bobthebuilder3693]

Kal exam hai, ab konsa professor dhundu 😂

[@lazyplayer1]

Im cooked i have this in exam in like 3 hours

[@TarunSingh-hl9mb]

bhai kon se exam aur kiskee tmhare

[@MohmedAhsanAnsari]

exam today

[@mcgamerabhi2556]

meree camculator main matrix nei hai 🥲🙃🙃🙃

[@Ultron.5x]

damn ye fds ke exam ke liye is like lube for balls

[@omkarpatil9259]

what the hell balls

[@DanishAnsari-y6l]

ur balls

[@mehtabmehdi5046]

bhai kuchh body ko bhi hila lo.. tumhe dekh ker to mujhey bhi neend aa rahi hai..😄😄😂

[@prashantshekhar8348]

Bhai kon si ghaansh fuki h bhai ? Abhi tk bhand ho

[@rohanwarghade773]

lol he gave u heart

[@anupamdas-qk2kf]

what the hell

[@Lost70000]

Bhai theory krluga lekin yeh numerical nhi😂

[@Learners_for_Life]

Par theory kam aati hai na