dimvasdim / Thesis
Dynamic pricing of e-shop products through machine learning algorithms
☆43Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Thesis
- Thesis on Single-Agent Dynamic Pricing with Reinforcement Learning☆21Updated 5 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆36Updated 3 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆207Updated 6 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆33Updated 5 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆57Updated last month
- Code for the article Modeling Marketing Mix using PyMC3☆24Updated 2 years ago
- Bandit algorithms for dynamic pricing of many products☆37Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- Example usage of scikit-hts☆56Updated 2 years ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆32Updated 2 years ago
- Dynamic pricing for selling perishable goods☆65Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆67Updated 4 years ago
- A Python library dedicated to Inventory Analytics☆21Updated 2 weeks ago
- LGBM☆15Updated 3 years ago
- 😎 awesome dynamic pricing 💵☆95Updated 2 years ago
- Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)☆23Updated 3 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆23Updated 2 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 3 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆29Updated 4 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆135Updated last year
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆29Updated 3 years ago
- Demand forcasting using time series analysis and safety stock optimization to provide desired service level☆15Updated 5 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆32Updated 4 years ago
- 2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…☆28Updated 3 years ago
- Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…☆84Updated 4 years ago
- ☆27Updated 4 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆43Updated 4 years ago
- Hello world univariate examples for a variety of time series packages.☆55Updated 2 months ago
- ☆26Updated 4 years ago