POLYNOMIAL REGRESSION

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Art of Visualization

Art of Visualization

Күн бұрын

Пікірлер: 48
@Fryto250792
@Fryto250792 7 жыл бұрын
I have been following SDS podcasts for around 8 months now but got to youtube channel just like a month ago. It is awesome seeing how quick you are getting new subscribers. Keep going :)
@ArtofVisualization
@ArtofVisualization 7 жыл бұрын
Thank you for your warm feedback Lukasz!
@inez9531
@inez9531 4 жыл бұрын
''used to see how pandemics spread'' :')
@fetch9143
@fetch9143 4 жыл бұрын
:) , The moment I heard him say "pandemic" , I smiled.
@alexandrjackson
@alexandrjackson 3 жыл бұрын
@@fetch9143 can he tell when it will end?
@fadlyahmad8565
@fadlyahmad8565 3 жыл бұрын
@@fetch9143 LOL Me too
@ahmedtawfiq3625
@ahmedtawfiq3625 3 жыл бұрын
Just came from your ‘Machine Learning A-Z course’ for understanding Polynomial regression more in depth. Your course is really life changing 🙌🏼.
@РоманКопытин-ж8ы
@РоманКопытин-ж8ы 5 жыл бұрын
Hi, SuperDataScince. For more clear understanding, please add some simple examples. Thank a lot.
@arunkumars188
@arunkumars188 Жыл бұрын
in multiple LR, I usually visualise (at least for 1/2 features) as independent dimensions. How do I understand same in case of polynomial LR?
@factsandmyths3301
@factsandmyths3301 4 жыл бұрын
What determines the degree?
@justforfun7855
@justforfun7855 3 жыл бұрын
0:24 - there is a mistake with Polynomial Regression Equation , x1 squared should be x2 squared. Great Explanation by the way !!!
@shivankitss8396
@shivankitss8396 2 жыл бұрын
No
@taconator1213
@taconator1213 5 жыл бұрын
How do you find the second coefficient and so on?
@Rahulvamusani
@Rahulvamusani 7 жыл бұрын
Great course A-Z machine learning ... Keep going Kirill.
@ArtofVisualization
@ArtofVisualization 7 жыл бұрын
Thanks for tuning in Rahul!
@Dr_Shiny
@Dr_Shiny 4 жыл бұрын
Then whats about correlation and Collinearity or multicollinearity ... If you take the square of that variable, it will cause correlation with X. which will make the regression biased. Should it be ok to use demean X in this case?
@ozgurak1840
@ozgurak1840 2 жыл бұрын
Hmm, I don't think Polynomial regression is a linear regression; it is non-linear improvement of linear models.
@MIrfanArif
@MIrfanArif 5 жыл бұрын
Can we calculate value of x, with y given? using polynomial regression equation?
@kfnsyh0758
@kfnsyh0758 5 жыл бұрын
So if polynomial are linear, then for autocorrelation test we can use Durbin Watson test right?
@NguyenDuy-jd6sm
@NguyenDuy-jd6sm 5 жыл бұрын
so easy to understand, you should open a patreon page
@matheuscorrea3277
@matheuscorrea3277 4 жыл бұрын
thank you!, this video made my mind clearest
@michaeloluwalana5959
@michaeloluwalana5959 4 жыл бұрын
Super, thank you for the good explanation. Can you give an example of situation in health research where polynomial regression can be used
@kweysi
@kweysi 7 жыл бұрын
Multiple Linear Regression when are we getting your views on it. ? Am clear with the Polynomial
@ArtofVisualization
@ArtofVisualization 7 жыл бұрын
Do you want Multiple Linear Regression tutorial? We can make it! Just ask here, in the comment section
@sagarsrinivas8783
@sagarsrinivas8783 7 жыл бұрын
Your explanations are interresting
@ArtofVisualization
@ArtofVisualization 7 жыл бұрын
Thank you, Sagar!
@benitareatlegile6516
@benitareatlegile6516 6 жыл бұрын
How do we calculate correlation for polynomials...?
@ArtofVisualization
@ArtofVisualization 6 жыл бұрын
Hi, Polynomial regression of degree p in one independent variable x is considered. Numerically large sample correlations between xα and xβ, α < β, α, β = 1, ..., p, may cause ill- conditioning in the matrix to be inverted in application of the method of least squares. These sample correlations are investigated. It is confirmed that centering of the independent variable to have zero sample mean removes nonessential ill-conditioning. If the sample values of x are placed symmetrically about their mean, the sample correlation between xα and xβ is reduced to zero by centering when α + β is odd, but may remain large when α + β is even. Some examples and recommendations are given.
@jaype8987
@jaype8987 5 жыл бұрын
Where do I find the 'Multiple Linear Regression' video? I searched for it but wasn't able to find it on YT.
@9891676610
@9891676610 4 жыл бұрын
Brandon Foltz
@masumbillah1768
@masumbillah1768 6 жыл бұрын
Cheers mate, it was an amazing explanation. Bytheway can you please tell me what software/ tool did you use to make this presentation. I mean data point Drawing
@ArtofVisualization
@ArtofVisualization 6 жыл бұрын
Hey Masum! Just PowerPoint
@siguerhakim4723
@siguerhakim4723 3 жыл бұрын
Well done thanks
@shankarsalesforceseries5196
@shankarsalesforceseries5196 6 жыл бұрын
Thank you. Very useful.
@ArtofVisualization
@ArtofVisualization 6 жыл бұрын
Thanks for tuning in!
@radawilinofsky4744
@radawilinofsky4744 3 жыл бұрын
thank you I love you
@aame3098
@aame3098 4 жыл бұрын
thereis no example!! and the writing (polynomial) not (polinomial)😎
@147Ptm
@147Ptm 4 жыл бұрын
art of visualization, shows 1 graph and explains nothing at all
@MichaelHarryMusic
@MichaelHarryMusic 4 жыл бұрын
Thank you for this! Very helpful!
@baqir5652
@baqir5652 4 жыл бұрын
Oh My God!!!!!!!!!!! Did you already know? 2:20
@ironeagle1709
@ironeagle1709 4 жыл бұрын
😂😂😂
@glaswasser
@glaswasser 4 жыл бұрын
I see you say "data", not "data"
@ll-bc4gn
@ll-bc4gn Жыл бұрын
So profs are not smart enough to explain this concept like him lol. Feels bad
@elmourtadahyounes3717
@elmourtadahyounes3717 4 жыл бұрын
y have to title it smal definition
@omniscienceisdead8837
@omniscienceisdead8837 4 жыл бұрын
shit you made it easy to digest
@Photosounder
@Photosounder 5 жыл бұрын
5 minutes to explain nothing.
@aljoseven
@aljoseven 6 жыл бұрын
voozhoo voozhoo voozhoo.
@ArtofVisualization
@ArtofVisualization 6 жыл бұрын
Aeeeeee))))
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