I have been wondering on how the math behind a Linear regression works as in most of the ML books that you encounter, the focus will be on giving you a linear equation and just plugging this equation in a Python library to solve for the slope and bias and then use it to predict the new values. It is very rare that they …

In mathematics, linear interpolation is understood as a method of curve fitting using linear polynomials. A polynomial is just an expression that consists of variables along with their co-efficients. An example of a polynomial would be: 1x+2y&sup2 In the above equation, the variable x has 1 as its coefficient, the …