2. Data Science Algorithms

Linear Regression

Linear Regression is a method of measuring the relationship between two continuous variables. The two variables are –

  • Independent Variable – “x”
  • Dependent Variable – “y”

In the case of a simple linear regression, the independent value is the predictor value and it is only one. The relationship between x and y can be described as:

y = mx + c

Where m is the slope and c is the intercept.

Based on the predicted output and the actual output, we perform the calculation

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