[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
☆240Nov 14, 2018Updated 7 years ago
Alternatives and similar repositories for Airbnb-Dynamic-Pricing-Optimization
Users that are interested in Airbnb-Dynamic-Pricing-Optimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Dynamic pricing for selling perishable goods☆65Dec 7, 2017Updated 8 years ago
- Simulation Framework for Dynamic Pricing Competitions☆20Aug 24, 2018Updated 8 years ago
- Price Wars - A Simulation Platform for Dynamic Pricing Competition☆55Oct 16, 2018Updated 7 years ago
- A model algorithm to provide practical insights into pricing mechanisms☆27May 24, 2026Updated 4 months ago
- Thesis on Single-Agent Dynamic Pricing with Reinforcement Learning☆24Jun 14, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 😎 awesome dynamic pricing 💵☆126Oct 27, 2022Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Jan 31, 2020Updated 6 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆42Sep 16, 2019Updated 7 years ago
- Dynamic pricing of e-shop products through machine learning algorithms☆51Dec 27, 2020Updated 5 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Dec 11, 2018Updated 7 years ago
- Repository for lecture "Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets"☆13May 8, 2018Updated 8 years ago
- You can automate the process of building, testing, delivering, or deploying your Machine Learning models into production using GitHub Act…☆12Jun 13, 2020Updated 6 years ago
- A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart…☆1,458Jan 24, 2024Updated 2 years ago
- An Airbnb price prediction model. Built by Dino Rodriguez, Chase Davis, and Ayomide Opeyemi.☆20Dec 21, 2016Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Predict churn with Apache Spark☆12Feb 2, 2019Updated 7 years ago
- Adjusting the prices of a product or service based on various factors in real time☆22Aug 14, 2023Updated 3 years ago
- Kaggle☆14Jan 15, 2019Updated 7 years ago
- Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough☆90Sep 5, 2017Updated 9 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆54Jul 8, 2021Updated 5 years ago
- Stanford CS246 Mining Massive Data Sets course HW☆16Apr 21, 2017Updated 9 years ago
- Smart grid pricing by reinforcement learning☆19Dec 19, 2018Updated 7 years ago
- ☆13Nov 20, 2018Updated 7 years ago
- Using Scikit-learn, Numpy, Pandas and Matplotlib, analyzed Airbnb listing data to understand popular trends and predict SF prices☆17Aug 1, 2016Updated 10 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Watson OpenScale tutorials including sample models, notebooks and applications☆24Dec 8, 2022Updated 3 years ago
- Demand Forecasting Models for Kaggle competition☆91Aug 3, 2018Updated 8 years ago
- Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes☆25Jul 23, 2022Updated 4 years ago
- Jupyter notebook for performing price predictions of stock data using Facebook's Prophet package.☆26Jul 16, 2019Updated 7 years ago
- This computer vision workshop is based on the work detecting complex policies in the following [real life code story](https://www.microso…☆39Dec 5, 2020Updated 5 years ago
- Layer to connect with market providers for data + trading from different algorithmic trading providers / cryptocurrencurrencies / forex /…☆14Dec 8, 2022Updated 3 years ago
- Jupyter Notebooks for supplychainpy☆23Mar 21, 2017Updated 9 years ago
- Historical 2018 Seattle University IS 5201 team project using Python, pandas, and NumPy to compare additive and multiplicative airline-bo…☆12Aug 1, 2026Updated last month
- 🪜 Bayesian Hierarchical Models at Scale☆50Sep 3, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Stock Analysis System based on Spark, Kafka.☆10Dec 22, 2019Updated 6 years ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆17Dec 16, 2019Updated 6 years ago
- Today I Learned☆10Jan 5, 2020Updated 6 years ago
- Content for Udacity's Machine Learning curriculum☆10Aug 19, 2018Updated 8 years ago
- End To End Tutorial on Time Series Analysis and Forcasting☆23Apr 11, 2020Updated 6 years ago
- A web application for calculating dynamic price of Uber and Lyft cabs depending on various parameters with a feedback loop to retrain the…☆12Mar 18, 2022Updated 4 years ago
- top3-solution☆10Feb 28, 2020Updated 6 years ago