Linear regression is one of the first algorithms taught to beginners in the field of machine learning. Linear regression helps us understand how machine learning works at the basic level by establishing a relationship between a dependent variable and an independent variable and fitting a straight line through the data points. But, in real-world data science, linear relationships between data points is a rarity and linear regression is not a practical algorithm to use.
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