Minimum polynomial extrapolation

Minimum polynomial extrapolation is a method of predicting the future values of data points by looking at the patterns of past data points. To do this, we look at the points and try to find the shape of a polynomial (a polynomial is just a kind of math formula) that best explains the pattern. That polynomial then helps us predict what the next data point’s value might be. It’s like having a map that shows us what’s coming next in the data.