Linear Regression Understanding by CHIRAG
Linear Regression 1 .)Linear regression is a supervised learning algorithm used when target / dependent variable continues real number. 2.)Linear regression is a type of statistical analysis used to predict the relationship between dependent and independent Variables using BEST FIT LINE. 3.) It work on the principle of ordinary least square (OLS)/ Mean square errror (MSE) Simple Linear Regression In a simple linear regression, there is one independent variable and one dependent variable. The model estimates the slope and intercept of the line of best fit, which represents the relationship between the variables. The slope represents the change in the dependent variable for each unit change in the independent variable, while the intercept represents the predicted value of the dependent variable when the independent variable is zero. Mathematically, we can represent a linear regression as: y= a0+a1x+ ε Y= Dependent Variable (Target Variable) X= Independent Variable (predictor Variab...