Linear Regression is one of the most useful statistical/machine learning techniques. And we have multiple ways to perform Linear Regression analysis in Python including scikit-learn’s linear regression functions and Python’s statmodels package. statsmodels is a Python module for all things related to statistical analysis and it provides classes and functions for the estimation of many […]
Linear Regression in Python
Linear Regression Using Matrix Multiplication in Python Using NumPy
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 […]
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 […]