Linear Regression is the supervised Machine Learning model in which the model finds the best fit linear line between the independent and dependent variable.
It is one of the easiest and most popular Machine Learning algorithms.
It is a statistical method used for predictive analysis.
Here, in this repository it is implemented and achieved a remarkable accuracy of 97.10%.