👉 Resampling is a statistical technique in data analysis that involves replacing missing or noisy values with a new value based on some mathematical function. The goal of resampling is to improve the quality and accuracy of the data by smoothing out the distribution of data points, removing outliers, and increasing the efficiency of data processing. Resampling methods can be broadly categorized into two main categories: uniform sampling and random sampling. Uniform sampling involves replacing each missing value with a randomly selected value from a given set of values. Random
