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Simulate operating room utilization using cross-sectional data from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). Code made available with concurrent manuscript submission of Rao et al. (Annals of Surgery Open, 2023).
Massachusetts Institute of Technology course MITx 6.00.2x "Introduction to Computational Thinking and Data Science" (Winter 2019). An introduction to using computation to understand real-world phenomena. John Guttag, Professor of CS and EE, Massachusetts Institute of Technology. Part 2 of »Computational Thinking using Python« XSeries® program on…
Contains a method in Python to compute the uncertainty of an inventory (such as a pollutant inventory or a greenhouse gas inventory), based on input uncertainty for specific sub-categories of this inventory.
Modelo de simulación Montecarlo para simular la cantidad de veces que un jugador de baloncesto, acierta tiros libres, basados en las estadísticas del sitio web de E.S.P.N. Stat Free Throws.
Final project for Bayesian learning & Montecarlo simulation course attended at Polimi in 2022. The objective is to build a Bayesian model able to predict the quality of a given wine
A Monte Carlo simulation representing the daily behaviour of customers inside a fictional supermarket. Featuring a colourful and clear visualisation interface.
This project explores the application of Monte Carlo simulation techniques to predict stock price movements over time. Utilizing Python and libraries such as NumPy and Matplotlib, it offers a hands-on approach to understanding the stochastic nature of financial markets and the practical application of statistical methods in finance.