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Lecture 02.17 by Gaurav Sharma is a document available to read on EtoBox.

What is Lecture 02.17 about?

This lecture introduces computer simulations of probabilistic experiments using Python, focusing on Monte Carlo simulations to estimate probabilities. Students will learn to simulate events such as coin tosses and die rolls, and how to use Google Colab for their coding exercises. The lecture emphasizes the importance of Python in data science and provides practical examples of how to implement simulations to verify theoretical probabilities.

Author

Gaurav Sharma

Language

EN