Simulation and Modeling in Python 3
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Updated
Aug 13, 2023 - Jupyter Notebook
Simulation and Modeling in Python 3
Artificial Intelligence with Gomuku
Uncertainty or Standard Error of Mean propagation using Delta and Monte Carlo methods
MonteCarloMethodsinAIandML
Анализ соответствия размера выборки и плановых значений метрик A/B-теста
Анализ метрик двух тестов и выбор наиболее точного
Application of π value approximation (using Monte Carlo method) created by MATLAB App Designer and also exported to .m file extension (for MATLAB).
Using java threads to calculate PIE approximately using the monte carlo method.
This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.
Calculates standard errors and confidence intervals for effects in continuous-time mediation models.
Based on the book --- Reinforcement Learning: An Introduction (2nd ed, 2018) by Sutton and Barto. For the Reinforcement Learning course Assignment 2 (see Gridworld Problem 1.pdf) at Memorial University of Newfoundland, Jul. 18, 2024
A program for estimating the number π using the Monte Carlo Method.
Research compendium for the manuscript Pesigan, I. J. A., Russell, M. A., & Chow, S.-M. (2025). Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models. Psychological Methods.
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