KevinFasusi / supplychainpy_notebooks
Jupyter Notebooks for supplychainpy
☆22Updated 7 years ago
Alternatives and similar repositories for supplychainpy_notebooks:
Users that are interested in supplychainpy_notebooks are comparing it to the libraries listed below
- A collection of basic financial models and helper scripts implemented in Python (using PuLP and Pyomo modeling languages) and AMPL.☆27Updated 8 years ago
- ☆25Updated 7 years ago
- Learning how to apply advanced decision techniques such as real options, Monte Carlo simulation, network concepts from graph theory, prob…☆30Updated 5 years ago
- Bandit algorithms for dynamic pricing of many products☆39Updated 5 years ago
- PySpark, Databrick, h2o, MLlib☆18Updated 8 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 5 years ago
- ☆46Updated 4 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 6 years ago
- A Python library dedicated to Inventory Analytics☆22Updated last month
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 7 years ago
- Dynamic pricing for selling perishable goods☆64Updated 7 years ago
- Production Fixed Horizon Planning with Python☆27Updated last week
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)☆23Updated 3 years ago
- Price Wars - A Simulation Platform for Dynamic Pricing Competition☆53Updated 6 years ago
- ☆13Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆18Updated 7 years ago
- Work-In-Progress: conjoint analysis in Python☆52Updated 6 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 8 years ago
- Time Series Anomaly Detection Toolkit☆22Updated 5 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated last year
- A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…☆57Updated 3 years ago
- The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library☆12Updated 6 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- ☆13Updated 5 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆39Updated 6 years ago