hpi-epic / pricewarsLinks
Price Wars - A Simulation Platform for Dynamic Pricing Competition
☆53Updated 6 years ago
Alternatives and similar repositories for pricewars
Users that are interested in pricewars are comparing it to the libraries listed below
Sorting:
- Dynamic pricing for selling perishable goods☆64Updated 7 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 5 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.☆77Updated 7 years ago
- How to predict credit defaulting?☆93Updated 5 years ago
- automated machine learning toolkit☆15Updated 7 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆35Updated 8 years ago
- ☆9Updated 8 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- feng - feature engineering for machine-learning champions☆27Updated 8 years ago
- Repository for lecture "Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets"☆12Updated 7 years ago
- ☆13Updated 5 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 8 months ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- My machine learning capstone projects that predicts rental rates and property values in San Francisco using two datasets (Airbnb and SF A…☆31Updated 6 years ago
- Kaggle competition results☆20Updated 6 years ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆15Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…☆30Updated 5 years ago
- random junks☆23Updated 9 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- ☆36Updated 5 years ago
- Tutorial on deploying machine learning models to production☆59Updated 5 years ago
- ☆40Updated 8 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Updated 7 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Work-In-Progress: conjoint analysis in Python☆52Updated 7 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/…☆21Updated 8 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago