Extra Activity - 2
Extra Activity - 2
Embedded Files
Activity : Perform a Monte Carlo Simulation using Google Colab.
This activity requires you to work on the Python Notebook that was discussed in Week 0 Part 2 content.
Open the Python Notebook shared with you in the supplementary content
Make a copy this file into your drive (You are free to organize the python notebook within your drive)
Open the file using Google Colab
Go through the code in Google Colab (and also refer to last video of Week 0 Part 2) to understand how the parameters can be manipulated in Python Notebook.
Select an experiment and event from various examples seen so far in the lectures (or any other problem that interests you).
Add the selected experiment and event to the notebook and perform a Monte Carlo simulation to verify the computed probability.
Add the Google Colab notebook to the site (Make sure that sharing permission is view for everyone in Onlinedegree domain) under the heading ‘Activity 2’
Take a screenshot of the website with the embedded Colab Notebook.
Google Colab Notebook Link : Click Here
Description:
The notebook explores probability concepts using Python and Monte Carlo simulations. It covers basic probability calculations like coin tosses and die rolls. It introduces Monte Carlo simulation for estimating probabilities. It simulates scenarios like the birthday problem and Monty Hall problem. It demonstrates the Polya's urn scheme and Gambler's ruin. It includes functions for simulating biased coin tosses. It explores expected values of common probability distributions. It simulates balls and bins problem and calculates empty bins. It visualizes continuous distributions using histograms. It analyzes the Iris dataset with summary statistics and histograms.
Screenshots:
Page updated
Report abuse