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| title: 💸 Dynamic Pricing 💸 | |
| emoji: 💸 | |
| colorFrom: green | |
| colorTo: gray | |
| sdk: streamlit | |
| sdk_version: 1.10.0 | |
| app_file: app.py | |
| pinned: false | |
| This demo will explore the current state-of-the-art in dynamic pricing methods. | |
| We will cover the motivation behind dynamic pricing and discuss how we can leverage Bayesian statistics, Thompson sampling and Gaussian processes to derive an optimal price-setting strategy. | |