<ul><li>Polynomials are algebraic expressions consisting of variables and coefficients.</li><li>Polynomial regressions are the most used in machine learning.</li></ul>Polynomial regression is a unique case of linear regression:<ul><li>You fit a polynomial equation on the data with a curvilinear relationship between the independent variable x and the dependent variable y. </li><li>It is modelled as an nth degree polynomial.</li></ul>

Polynomial regression

In linear regression, we use a single line to predict our data using the line equation. However, we need to use polynomial regression when our data is not a linear dataset but a kind of polynomial curve. In that case, we need to use a polynomial curve to predict the value the curve can be increasing or decreasing.

Where linear regression fails

<div>)</div><figure><img alt="" src="https://miro.medium.com/max/500/1*d50uTIUv21sPx8cPjplU4g" width="680" height="340"></figure>polynomial regression is one of the most used and popular models used in machine learning.in this article, I would be giving you a detailed explanation and how this model works.polynomial regression comes in the branch of supervised learning and it’s a regression model.<h1 data-selectable-paragraph="">What is polynomial ?</h1>Polynomials are algebraic expressions that consist of variables and coefficients.<h1 data-selectable-paragraph="">What is polynomial regression?</h1>Polynomial regression is a special case of linear regression where we fit a polynomial equation on the data with a curvilinear relationship between the independent variable x and dependent variable y is modeled as an nth degree polynomial. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x)<figure><img alt="" src="https://miro.medium.com/max/500/1*dAlwXfVrtYspdCzmC8iADw.png" width="680" height="328"><figcaption dir="auto">Big Data Jobs</figcaption></figure><h1 data-selectable-paragraph="">Where does linear regression fail</h1>as in linear regression, we use a single line to predict our data by the equation of line but when our data is not a linear dataset instead it’s kind of like a polynomial curve then we have to come with a different approach and we have to use polynomial regression<figure><img alt="" src="https://miro.medium.com/max/500/1*eL7JtkgHGyGk2Km4KQxMvQ.png" width="325" height="301"></figure>but in the case of the polynomial regression model we use a polynomial curve to determine or predict the value the curve can be increasing or decreasing the equation of the model is<figure><img alt="" src="https://miro.medium.com/max/500/1*an5HRBRSlGkaFb_KP0-oAg.png" width="358" height="305"></figure><h1 data-selectable-paragraph="">How does it work</h1>the polynomial regression model uses a polynomial function instead of a straight linethe model visualisation would look like<figure><img alt="" src="https://miro.medium.com/max/500/0*JYYL3S5KweOChHHW.png" width="640" height="480"></figure><h1 data-selectable-paragraph="">real-life examples</h1>we can use this model in many cases where we see our data is polynomial we can see polynomial data in many real-life examples<UL><LI>covid case prediction model</LI><LI>position salary predictor</LI></UL>shortly I would be explaining this model to you by creating one<h1 data-selectable-paragraph="">Don’t forget to give us your 👏 !</h1><figure><img alt="" src="https://miro.medium.com/max/500/0*2lvCls4yjxVMfZSR" width="680" height="105"></figure><figure><img alt="" src="https://miro.medium.com/max/500/1*2f7OqE2AJK1KSrhkmD9ZM" width="255" height="170"></figure><figure><img alt="" src="https://miro.medium.com/max/500/1*v-PpfkSWHbvlWWamSVHHW" width="255" height="170"></figure><figure><img alt="" src="https://miro.medium.com/max/500/1*Wt2auqISiEAOZxJ-I7brD" width="255" height="170"></figure>

polynomial regression is one of the most used and popular models used in machine learning.in this article, I would be giving you a detailed explanation and how this model works. Polynomial regression…

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polynomial regression is one of the most used and popular models used in machine learning. in this article, I would be giving you a detailed explanation and how this model works.

polynomial regression comes in the branch of supervised learning and it’s a regression model .

Polynomials are algebraic expressions that consist of variables and coefficients.

Polynomial regression is a special case of linear regression where we fit a polynomial equation on the data with a curvilinear relationship between the independent variable x and dependent variable y is modeled as an nth degree polynomial. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x)

as in linear regression , we use a single line to predict our data by the equation of line but when our data is not a linear dataset instead it’s kind of like a polynomial curve then we have to come with a different approach and we have to use polynomial regression

but in the case of thepolynomial regression model we use a polynomial curve to determine or predict the value the curve can be increasing or decreasing the equation of the model is

thepolynomial regression model uses a polynomial function instead of a straight line

the model visualisation would look like

we can use this model in many cases where we see our data is polynomial we can see polynomial data in many real-life examples

<ul><li>covid case prediction model </li><li>position salary predictor </li> </ul>

shortly I would be explaining this model to you by creating one

What is Polynomial Regression ?

Polynomial regression

Where linear regression fails

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