😎 awesome dynamic pricing 💵
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Updated
Oct 27, 2022
😎 awesome dynamic pricing 💵
Dynamic pricing of e-shop products through machine learning algorithms
Creating a Bitcoin Lightning Network Enabled Energy Grid
This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".
Creating a decision support system for a newly launched product.
2022KurlyHackFesta 결선 진출 결과물 - Tag Score를 적용한 Dynamic Pricing 서비스 구현
This repository provides an implementation of algorithmic support for dynamic pricing based on surrogate ticket demand modeling for a passenger rail company on open data.
WooCommerce Dynamic Pricing, Git-ified. This repository is just a mirror of the WooCommerce Dynamic Pricing plugin. Please do not send pull requests
STAD-GCN: Spatial-Temporal Attention-based Dynamic Graph Convolutional Network for Retail Market Price Prediction, pytorch version (ESWA 2024)
Dynamic shop Minecraft 1.16.x plugin with advanced capabilities, based on the real economy.
Dynamically adjust cost of the rides in response to changing factors
هدف تحلیل دیتاهای مربوط به قیمت های پرواز تهران مشهد و بالعکس با روش های مبتنی بر یادگیری ماشین می باشد
Dynamic Ride Pricing App This is a Streamlit web application designed to implement a dynamic pricing model for ride-sharing platforms.
This repository hosts my bachelor's thesis: 'Monitoring of Agents for Dynamic Pricing in different Recommerce Markets'.
To establish relationship between users behaviour and related features, with event prices.
Backend for a Food Delivery App with dynamic pricing. Used Swagger for API documentation.
Dynamic pricing algorithm for Uber rides. Focus on dataclass usage and pipeline execution efficiency.
This project focuses on Dynamic Pricing by leveraging machine learning to predict the cost of rides based on factors like demand, customer loyalty, ride duration, and vehicle type. Using the Dynamic Pricing Dataset from Kaggle, the project includes exploratory data analysis (EDA), feature engineering, model training, and deployment.
This project applies Q-Learing for dynamic pricing decision-making optimization
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