Python, Data Science, Artificial Intelligence.
and determining the output metrics of interest. 3.Random Sampling: Generate random samples from the probability distributions of the input variables. This is the core step of Monte Carlo simulation, where you use random number generators to create a large number of scenarios or iterations.