Monte Carlo probability simulations in R covering dice sums, convergence, and random seating arrangements.
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Updated
Sep 6, 2026 - Jupyter Notebook
Monte Carlo probability simulations in R covering dice sums, convergence, and random seating arrangements.
An interactive Python Galton board simulator that visualizes Bernoulli trials, binomial probability, Pascal’s triangle, and statistical convergence with live animations.
A Python program to calculate the probability of drawing a specific combination of items from a collection using Monte Carlo simulations. This project leverages object-oriented programming, random sampling, and statistical analysis to estimate probabilities in complex scenarios.
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