How to deal with imbalanced data
Sampling
Discover the optimal transformations to apply on the standard [0,1] uniform random generator for uniformly sampling a 2D disk
Make the most out of the little data you have, by grabbing your data by the bootstraps.
Statistical sampling is a fundamental block of statistics that allows us to obtain information on the population of interest efficiently...
Implementing inverse transform sampling, rejection sampling and importance sampling in Python
How to generate high-modularity clustering on sampled graphs
Maximizing the Utility of Small Audit Samples
Randomly generating splits of the data set is not always the optimal solution, as the proportions in the target variable can be extremely...
Central Limit Theorem (CLT) is one of the most fundamental concepts in the field of statistics.