Linear Regression Implementation In C++

A working code tutorial on how to implement Machine learning basics using C++

Linear regression models the relation between an explanatory (independent) variable and a scalar response (dependent) variable by fitting a linear equation. For example, modeling individuals’ weights with their heights using a linear equation.

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This article is part of a series that address the implementation of Machine learning algorithms in C++, throughout this series, We will be implementing basic Machine learning algorithms using C++ features.

• When Should You Learn Machine Learning using C++?
• Data Preprocessing And Visualization In C++.
• Machine Learning Data Manipulation Using C++.
• Naive Bayes From Scratch using C++.
• Linear Regression Implementation In C++.
• The 8 Books Each C++ Developer Must Read.
• The 9 Books Each Machine Learning Developer Must Read.

Before trying to model the relationship on the observed data, you should first determine whether there is a linear relation between them or not, usually, the scatter plot can be a helpful tool to view the relation between the data.