Occam’s Razor, a problem solving principle states that “Among competing hypotheses, the one with the fewest assumptions should be selected. Other, more complicated solutions may ultimately prove correct, but—in the absence of certainty—the fewer assumptions that are made, the better.” Business Situation: In the world of analytics, where we try to fit a curve to every pattern, … Continue reading How to avoid Over-fitting using Regularization?