Linear Regression Using Matrix Multiplication in Python Using NumPy

Linear Regression fit with Matrix Multiplication in Python

Linear Regression is one of the commonly used statistical techniques used for understanding linear relationship between two or more variables. It is such a common technique, there are a number of ways one can perform linear regression analysis in Python. In this post we will do linear regression analysis, kind of from scratch, using matrix… Continue reading Linear Regression Using Matrix Multiplication in Python Using NumPy

Introduction to Linear Regression in Python

Linear regression is one of the most commonly used statistical technique to understand relationship between two quantitative variables (in the simplest case). Simple linear regression models relationship between two variables X and Y, where X and Y are vectors with multiple values. For example, X could how well each country is doing economically, like GDP… Continue reading Introduction to Linear Regression in Python