SVM Kernal- Polynomial And RBF Implementation Using Sklearn- Machine Learning
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- Опубликовано: 15 сен 2024
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I was not getting this topic but now you have given a very nice intuetion about SVM's in these 4 four videos.
hundred of articles summed up in one video and that too comprehensively. Great job. If someone watches these 4 video series on SVM, then I think he can confidently start mastering with at least 1 algorithm i.e., SVM. Brilliant stuff. Now I know what Mathematical concepts I need to polish further to apply and understand SVM further.
yeah im tryin to use adaboost with zvvm and i understood alot from these vvideos , but still not confident enough i know what mathematical knowledge i need to go further
This is the most under rated video on svm topic on youtube..
Such a grate explanation i have ever seen at youtube. many many thanks sir for creating videos like this.
Tq for all the videos sir , plz come up with more end to end projects with deployment it will be very helpful .
fantastic video. I am not able to understand the complex concept of SVM. Its all thanks to your exception videos
Krish can you tell us how you learn new concepts very fast and manage to learn many things?
Yes I have the same question!
Hi Krish. Congrats for your great job on clarifying all these difficult concepts... I have a comment on the way in which you decude the components of the linear kernel that will become the new features. You understand x^T y as a mattrix product between x^t (2x1 dimensions) and y (1x2 dimensions) resulting in the 2x2 dimension with the main components. Nevertheless, as far as I know x^T y should actually be interpreted as a product (scalar) product between a 1x2 mattrix and another 2x1 one resulting in the typical x1y1+x2y2. I have seen in other references that the polynomial kernel is in fact the dth power of the bynomion ( x^T y + 1) that in fact generates a polynomial whose terms are in fact a linear combination of the components you identify by means of the mattrix production interpretation... At this point, Im not sure if I am right or wrong.... could you clarify, please?
I think you need to change X1_Square to X2_Square below for y:
fig = px.scatter_3d(df, x='X1_Square', y='X2_Square', z='X1*X2',
Krish thank you for this video. One question though, at 10:39 on line [219] why y is X1 Square? shouldn't it be X2 Square? Just wanted to be Clear.
You are awesome I must say, I just pause the video and writing this.
Loved it.
Thanks.
Hi when using the RBF classifier, is it possible to get the equation of the plane that it cuts? As I am interested in using that plane as a prediction to further values.
Krish, just a suggestion can you put this after 85th SVM will be in series, earlier concepts clear till 85th continuing with this practical implementation will help for new ones who comes. I've repeated twice :).
if you can't explain it simply you, you don't understand it well enough - Einstein. you simplify it. Thank you
Neat visualizations sir and as always explanation was up to the point. One question, shouldn't y be 'X2_sqaure' in the final plot?
Thank you sir
Can anyone explain this K(x,y)=(xT y +c)*d
I don't understand this formula means
xT.y becomes x1 square ,x2square, x1x2 but where is the remaining formula means +c and power d
Simple and neat explanation. Thank you.
Do data scientists work alone? How many data Scientist work in any organisation . why most of companies hire less Data scientist as compare to softwere Engineer.
Please a video on data streaming with kafka
why I am getting accuracy 0.59 after applying kernel=poly
Sir I want your help, actually I have no idea about making project and unfortunately I have assigned a project to make a personality prediction system using CV analysis in python sir how to implement it please help
just one word , amazing !!
Krish, yr a legend - thanks mate.
In interview interviewer will ask about formals or they will ask just about theory in which scenario will use this model like that questions
how to get data set for practice
Kindly share python code about brain tumour segmentation in google colab.
Hi Bro,
Can you please make a video on converting categorical values to numeric ?
Have u done any image segmentation using kmeans ,plz post
You my good sir.... You're a genius :)
I have an doubt if the accuracy was 1.0 then it is termed as overfitting? anyone can explain me
K(x,y)=(xT y +c)*d
I don't understand this formula means
xT.y becomes x1 square ,x2square, x1x2 but where is the remaining formula means +c and power d
Best Video.
What should i refer to study on autonomous cars
thank you so much for this video
If features are more than two then what will be done sir??
Then sir, poly kernel is overfit?
Good one
hi krish I just joined as member for data science material , from where i can get materials
Check the community post
Sir can you please share the dataset or link plz it will really helpful
Yes please
if data is more than two dimensions then how to know that data is linearly separable or not?
you can do a correlation plot
wonderful dear
want to take tuition ..pls reply
Thank u..it was amazing..
Thank You!
thanks for this lab
Thanks
Best Best Best
Anyone knows how to use rbf with a huge dataset? Like 500000+ samples.
sir plz can you help us to make model which classify covid-19 patients using chest x-ray using restricted bolzman machine and auto-encoder