In Linear Regression Video Lecture for Visualizing Loss function, the values of theta are
array([ 0.68364861, 79.87998953])
Later on the chosen range of points to create the numpy array is as
T0=np.arange(-50,50,1)
T1=np.arange(40,120,1)
On what basis is the range for T0 chosen as -50 to 50 if the value of T0 is 0.683…?
Hey @icoder18, these values are chosen randomly. We just need to plot the error curve. So actual value of T0 is 0.68 so we kept its range from -50 to 50, whereas T1 has actual value of 79.87 so we kept range of T1 from 40 to 120. We just intend to plot for some points which are less than these optimal values and some for the points which are greater than this.
Hope this resolved your doubt.
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