POLYNOMIAL REGRESSION

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In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x), and has been used to describe nonlinear phenomena such as the growth rate of tissues,[1] the distribution of carbon isotopes in lake sediments,[2] and the progression of disease epidemics.[3] Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data. For this reason, polynomial regression is considered to be a special case of multiple linear regression.
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''used to see how pandemics spread'' :')

inez
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Hi, SuperDataScince.
For more clear understanding, please add some simple examples.
Thank a lot.

tecpguz
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Just came from your ‘Machine Learning A-Z course’ for understanding Polynomial regression more in depth. Your course is really life changing 🙌🏼.

ahmedtawfiq
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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 :)

Fryto
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Great course A-Z machine learning ... Keep going Kirill.

Rahulvamusani
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How do you find the second coefficient and so on?

taconator
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0:24 - there is a mistake with Polynomial Regression Equation, x1 squared should be x2 squared.
Great Explanation by the way !!!

justforfun
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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?

arunkumars
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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?

Dr_Shiny
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Hmm, I don't think Polynomial regression is a linear regression; it is non-linear improvement of linear models.

ozgurak
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So if polynomial are linear, then for autocorrelation test we can use Durbin Watson test right?

kfnsyh
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Can we calculate value of x, with y given? using polynomial regression equation?

MIrfanArif
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Where do I find the 'Multiple Linear Regression' video? I searched for it but wasn't able to find it on YT.

jaype
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thank you!, this video made my mind clearest

matheuscorrea
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Super, thank you for the good explanation. Can you give an example of situation in health research where polynomial regression can be used

michaeloluwalana
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so easy to understand, you should open a patreon page

NguyenDuy-jdsm
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How do we calculate correlation for polynomials...?

benitareatlegile
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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

masumbillah
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Multiple Linear Regression when are we getting your views on it. ? Am clear with the Polynomial

kweysi
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thereis no example!! and the writing (polynomial) not (polinomial)😎

aame