What is Polynomial Regression ?
An introduction to machine learning algorithms
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.
What is polynomial ?
Polynomials are algebraic expressions that consist of variables and coefficients.
What is polynomial regression?
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)
Where does linear regression fail
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 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
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How does it work
the polynomial regression model uses a polynomial function instead of a straight line
the model visualisation would look like
real-life examples
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
- covid case prediction model
- position salary predictor
shortly I would be explaining this model to you by creating one
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