Ridge Regression, Lasso Regression, Elasticnet Regression, Machine Learning, Machinelearningalgorithms.
Arbitory values here hθ(x)=0.55 + 0.43x1 + 0.34x2 + 0.12x3 -- 2 // Here 0.43x1 means x1 moves by 1 then according to that y will move by 0.43 // If we get large values for the slope that means x1(input feature) is highly corelated with the y(output feature) // Now you can see equation 1 is highly