Getting Started with Data Science in Python

In statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating the unknown parameters in a linear regression model. OLS chooses the parameters of a linear function of a set of explanatory variables by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values of the variable being observed) in the given dataset and those predicted by the linear function. The sklearn module for python is used for predictive data analysis. You can learn more from their website and docs. The first step is to make the necessary imports and load the dataset.