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Game Theory with Python

In this 2-hour long project-based course, you will learn the game theoretic concepts of Two player Static and Dynamic Games, Pure and Mixed strategy Nash Equilibria for static games (illustrations with unique and multiple solutions), Example of Axelrod tournament. You will be building two player Nash games and analyze them using Python packages Nashpy and Axelrod, especially built for game theoretic analyses. Also, you will gain the understanding of computational mechanisms related to the aforementioned concepts. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Jun 26 (44 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Barsha Saha
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

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Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Jun 26 (44 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Barsha Saha
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Math And Logic Probability And Statistics

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