Data Science – What Is Interpolation ? Table Of Contents: What Is Interpolation ? Assumptions Of Interpolation ? Linear Interpolation. Polynomial Interpolation. Spline Interpolation. (1) What Is Interpolation ? Interpolation is a technique used to estimate or “fill in” missing values in a dataset by using the values of surrounding data points. In other words, it generates a smooth transition between known values by estimating the unknown values in between. This is especially useful in time series or continuous numerical data where missing points can disrupt trends or patterns. (2) Assumptions Of Interpolation ? Interpolation assumes that data points near

Read More