Math behind Linear Regression | Machine Learning behind the Scene | How machine really draws a line?
#mathinmachinelearning #meansquarederror #linearregression
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Linear Regression algorithm draws the best fitting line over the data
so equation to draw a line is:
y = mx + c;
in Machine learning same can be expressed as follows:
h(X) = Ɵ0 + Ɵ1 X
Ɵ0 is Y-intercept or the bias
Ɵ1 is the slope or angle
Let's say,
Ɵ0 = 1
Ɵ1 = 0.5
then equation would look like,
h(X) = 1 + 0.5 X
Let's watch the video to understand further details!