Machine Learning, Deep Learning, Software Development, Robotics, Linear Regression.
and b with random values For example m = 1 and b =2, i.e a line equation is y = mx+b, then y = 1*x+2. This can give a line that is not best fitted for the historical data, as shown below. The line is not best fitted, and the idea here is to find the optimal values of the line’s coefficients that