A few key points…
Last Updated on July 20, 2023 by Editorial Team
Author(s): Lawrence Alaso Krukrubo
Originally published on Towards AI.
Using matrix algebra…
Hello World, ever wondered how your favourite Machine Learning algorithms actually work? Let’s see how a Multiple Linear Regression(MLR) model computes the ideal parameters, given the features matrix (X) and target variable(y), using Linear Algebra.
X is an (m * n feature matrix) and y is an(m* 1 column vector)
Where:
m is the number of observations or rows in the data set
n is the number of attributes or variables selected for the prediction
X is the m * n feature matrix of independent variables
y is the target or dependent variable
I assume you know the basics of linear regression and can walk through the… Read the full blog for free on Medium.
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