The bootstrap is a versatile and effective statistical tool that may be used to calculate the level of uncertainty surrounding a certain estimate or statistical learning technique. It can offer a confidence range for a coefficient or an estimate of the standard error of that coefficient. The bootstrap method allows the computer to recreate the process of getting fresh data sets, allowing us to estimate our estimate’s variability without having to create more samples.