Python vs Excel: Create a Linear Regression

Linear Regression is a simple and commonly used type of predictive analysis which it is the first thing we learn in data science. Linear regression is a model that finds the linear relationship between variables, a dependent variable and independent variable(s). Excel and Python are the most common tools for data analysis, and several data analysis tasks can be completed using both of them. In this article, we will compare between creating a linear regression model using Python and using Excel. I will use Boston Housing dataset to create the model.