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Multiple Linear Regression
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Multiple Linear Regression
Multiple Linear Regression is a term that you will frequently hear in Machine Learning. We are here to help explain it in simple terms! Overall, Multiple linear regression is a statistical method used in machine learning to model the relationship between a dependent variable and one or more independent variables.
It assumes that the relationship is linear and uses a set of coefficients, one for each independent variable, to predict the value of the dependent variable. It is used to analyze and model continuous data, particularly useful in cases where multiple variables may influence the outcome. Find out more here!
You can find us also here:
#MultipleLinearRegression #Marchinelearning
Multiple Linear Regression is a term that you will frequently hear in Machine Learning. We are here to help explain it in simple terms! Overall, Multiple linear regression is a statistical method used in machine learning to model the relationship between a dependent variable and one or more independent variables.
It assumes that the relationship is linear and uses a set of coefficients, one for each independent variable, to predict the value of the dependent variable. It is used to analyze and model continuous data, particularly useful in cases where multiple variables may influence the outcome. Find out more here!
You can find us also here:
#MultipleLinearRegression #Marchinelearning
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