Today's video provides a conceptual overview of Monte Carlo simulation, a powerful, intuitive method to solve challenging probability questions. And we get to see how we can use it to answer a realistic question in Python!

0:00 Monte Carlo Applications
0:22 Party Problem: What is The Chance You'll Make It?
1:16 Monte Carlo Conceptual Overview
3:00 Monte Carlo Simulation in Python: NumPy and matplotlib
5:02 Party Problem: What Should You Do?

You can access the dataset and Jupyter Notebook used to run these scripts, which includes proper commenting, at: https://github.com/RiskByNumbers/Mont....

#montecarlosimulation #probability #datascience #python #numpy #tutorial #sampling
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Hello, and welcome to RiskByNumbers!

I am a professor sharing educational resources around probability, statistics, optimization methods, algorithms, and programming to a broad audience.

Outside of Youtube, you can currently find me in Vancouver, Canada at the University of British Columbia.

Thank you, and I look forward to seeing you in future videos!

Email: [email protected].
LinkedIn:   / omar-swei