![]() ![]() Linear regression is a statistical model that examines the linear relationship between two (Simple Linear Regression ) or more (Multiple Linear Regression) variables - a dependent variable and independent variable(s). In this blog post, I want to focus on the concept of linear regression and mainly on the implementation of it in Python. Stay tuned! But for right now, let’s focus on linear regression. ![]() Hi everyone! After briefly introducing the “Pandas” library as well as the NumPy library, I wanted to provide a quick introduction to building models in Python, and what better place to start than one of the very basic models, linear regression? This will be the first post about machine learning and I plan to write about more complex models in the future. Quick introduction to linear regression in Python ![]() Simple and Multiple Linear Regression in Python ![]()
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