Linear Regression is one of the most basic and important regression models in machine learning.
In this video, we explain Linear Regression in a simple way:
what Linear Regression is
how it predicts continuous numerical values
why it uses a straight line
what the formula y = mx + b means
how the model finds the best line
when Linear Regression works well
when it may not be enough
Linear Regression is simple, interpretable, and a great starting point for understanding regression models.
In the next video, we’ll continue with Polynomial Regression.
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