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Principles of Data Science by Sinan Ozdemir

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Linear regression

Finally! We will explore our first true machine learning model. Linear regressions are a form of regression, which means that it is a machine learning model that attempts to find a relationship between predictors and a response variable and that response variable is, you guessed it, continuous! This notion is synonymous with making a line of best fit.

In the case of linear regression, we will attempt to find a linear relationship between our predictors and our response variable. Formally, we wish to solve for a formula of the following format:

Linear regression
  • y is our response variable
  • xi is our ith variable (ith column or ith predictor)
  • B0 is the ...

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