Support Vector Machine Classifier Indepth Intution In Hindi| Krish Naik
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- Опубликовано: 26 май 2022
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Best lectures for Data science❤🔥❤🔥
Making Machine Learning easy
Thank You very much sir
Sir bring more videos your content are awesome
Got clear idea every 😊👍
Best Explanation......!!
The hyperparameter c was a little confusing to understand.
I feel it will be better to call it a multiplier by which we control how harshly we treat misclassifications, with c=0 meaning no penalty to the model for misclassifications and c= 《very high number》meaning very heavy penalty to model for any misclassification.
Love your content btw👍
Sir, please make an end-to-end Machine Learning project till deployment in Hindi. It will be very helpful for us,
👌
Awesome ! :)
Superb man !
Awesome yaar
So clear
great explanation
big fan sir
Love it
Tyyyyyy❤❤❤❤❤
Sir SVM intuition video is very informative, please make a video for one class svm. Thank you in advance
can both marginal lines have different distance from the line of best fit or they should have the same difference?
Why do we need C_i and not simply C? It must be independent of the datapoint under consideration, isn't it?
Please suggest some good books for mathematics of the data science
for the pt (-1,0) which lies below the line we will also get a positive value. How can we generalize that all points below line are negative?
Actually graph plotted here is wrong , Graph is actually will go below origin hence the point(-1,0) lie above the graph, hence
the value is coming out to be positive. I hope it is clear now
2:18 is this really what we do in Logistic Regression?
For the line at 14:55 everything is incorrect.You have reversed the signs.
thank u
Krish, I love your videos very much
You try to make things simpler
But, you know there are so many deep level maths concepts under the hood and most of the times you are ignoring it.
like finding the distance between two parallel marginal lines is done in a very confusing way.
you write y = wtx+b sometimes, next time wtx+b = 0 where W and X are the coefficient and variable matrices(not explained)
you write wtx1+b = 1 for a marginal line and next wtx2+b= -1, variable matrix changed from x1 to x2(not explained)
but from a very common man's perspective, only the constant value gets changed in case of equation of two parallel straight lines
You're teaching in a deep level, but please explain these things, you are showing shallow maths concepts.
Correctly pointed out bro, I also felt the same.
You are so right. Krish is explaining via Pseudo-Maths
First half was ok but next half kuch samaj nahi aya
sir aaj mera job laga hai.... as a trainee analytics using Quickbase software..... sir starting me 11k mil raha hai... my question is ye good hai data analytics and data science me jane ke liye??
please sir reply kijiye Or meri help kijiye... 😢
Please go for it
Ok sir thank you
@@krishnaikhindi sir.... Quick base sikhne me to easy and achcha lag raha hai par aage mujhe ye data science me jane ke liye kis tarah se help karega. Please bataiye..
how u create equation 3x+2y+4 ?
it's just an assumption..
Bhaiya power bi ka resource upload kijiye kha se kre or konse topic krne he or kitne krna he or sql kitna krna he plzzz 🙌
Bhai - for the time being you can refer Avi Singh - powerbi Pro channel. It is related to powebi only
Bhai first video jisme kuch samajh nahi aaya...💀💀
Your end part explaination was not at all good, suddenly from maximaizin the distance you swtiched to minimizing though it is fine that we can write it like that too,, but the reasoning is lacking, too many vaguenpoints, i have n number of questions…
Bhai second half of the video to bohot bekar hai