About this document
Simple vs Multiple Linear Regression by Gabriel Gheorghe is a document available to read on EtoBox.
Multiple linear regression allows predicting a target variable (y) based on two or more predictor variables (x1, x2, x3...). It extends simple linear regression, which uses only one predictor. The multiple linear regression equation is: y = b0 + b1x1 + b2x2 +...+ bnxn Where y is the target, x1...xn are the predictors, and b0...bn are the coefficients. The document demonstrates implementing multiple linear regression in Python. It loads data, preprocesses/scales the predictors, trains a model on a sampl
- Author
- Gabriel Gheorghe
- Language
- EN