Definition: Bootstrapping, also known as bootstrap estimation, is a method of estimating parameters in statistical models. It involves starting with an initial estimate and then using a random sample from the data set to iteratively update the estimate until convergence is achieved. In simpler terms, bootstrapping is like taking many samples (or "bootstraps") from your original dataset and averaging them together to get an average. This method helps in obtaining a more accurate estimate of parameters than if you were to use all of