Least Square Method (Curve Fitting)
Least square method or Least square regression is an approach followed in curve fitting, where we obtain the best-fit curve/line corresponding to a set of data points. This approach tries to minimize the sum of the square of the errors (or residuals) in the set of data points.
In this video, I try to obtain the slope and intercept of a best fit straight line passing through a set of data points using the Least square method.
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