Daily Data Science 101 — Bootstrap
Nov 6 · 3 min read
What is Bootstrap?
In the last post about Central Limit Theorem, I mentioned that some people hold the view that the Central Limit Theorem is not so central in the practice of data science, as you can use Bootstrap in almost any case.
Bootstrap is a procedure to estimate the sampling distribution of a statistic or of model parameters. What you need to do in bootstrap is to draw additional samples with replacement from the sample itself and recalculate the number you need for each resample. Bootstrap does not need any assumptions…


