Linear Regression for Machine Learning

Introduction Linear regression is a linear methodology for modeling the relationship between a scalar response and one or more explanatory variables in statistics. The situation of one explanatory variable is called simple linear regression and for more than one, the process is called multiple linear regressions. Description The connections are modeled using linear predictor functions […]

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