Dynamic pricing using Multi Armed Bandit (Reinforcement Learning)

What you'll be able to do

• Understanding the Basics of Dynamic Pricing.
• Introduction to Multi-Armed Bandit Problems.
• Understand fundamentals of Reinforcement learning.
• Explore MAP algorithms: UCB, Thompson Sampling, Epsilon Greedy.
• Application of MAB in Dynamic Pricing.
• Hands-on Python with fully worked out project code.

1. 01Dynamic Pricing and Bandits6 lessons · 45 min

   1. Introduction to Dynamic Pricing2:47
   2. Download Resources1:00
   3. What is Reinforcement Learning?10:08
   4. Overview of Multi Armed Bandit (MAB)8:07
   5. Regret2:41
   6. Problem Statement19:50
2. 02Greedy Algorithm1 lesson · 6 min

   1. Greedy Strategy5:47
3. 03Epsilon Greedy Algorithm2 lessons · 5 min

   1. Epsilon Greedy Approach3:32
   2. Course Review1:00
4. 04Upper Confidence Bound1 lesson · 8 min

   1. UCB Approach7:55
5. 05Thompson Sampling1 lesson · 12 min

   1. Thompson Sampling11:37
6. 06Begin Experiments3 lessons · 25 min

   1. Simulation Run20:16
   2. Interpreting the results1:36
   3. Why Thompson sampling has slower reactivity than expected?3:14
7. 07Improving the Algorithm1 lesson · 6 min

   1. Tuning UCB6:00

What you need

• Basics of Python
• Foundational knowledge of Data Science
• High school maths

Who this course is for

• Data Science Aspirants
• Data Science Professionals
• Software/Data engineers interested in quantitative analysis
• Professionals working with large datasets
• Data analysts, economists, researchers

Your instructor

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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