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Minimize Residuals Loss Function Explained Simply

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Minimize Residuals Loss Function Explained Simply

Description: We're diving into the core of Linear Regression! To minimize error, we must understand what we are solving for: the two coefficients in the linear function y=mx+b. Y is the output variable (dependent variable) and X is the input variable (independent variable). We must find β1 (m), which controls the slope of the line, and β0 (b ...

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