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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.