NForouzandehmehr / Bass-Diffusion-model-for-short-life-cycle-products-sales-prediction
☆19Updated 9 years ago
Alternatives and similar repositories for Bass-Diffusion-model-for-short-life-cycle-products-sales-prediction:
Users that are interested in Bass-Diffusion-model-for-short-life-cycle-products-sales-prediction are comparing it to the libraries listed below
- Time Series Anomaly Detection Toolkit☆22Updated 6 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library☆12Updated 6 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
- ☆14Updated 5 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 7 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
- Jupyter Notebooks for supplychainpy☆22Updated 8 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- spark (scala and python)☆18Updated 5 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆33Updated 5 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
- Pandas integration with sklearn☆21Updated 8 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 5 years ago
- Hierarchical Clustering Algorithms☆35Updated 2 years ago
- Python package for Bayesian & Frequentist A/B Testing☆12Updated last year
- Slides for my PyData NYC 2017 talk.☆14Updated 7 years ago
- Currency Portfolio Optimization - IPython notebook and data☆26Updated 9 years ago
- This is the native Python implementation of CPT(compact Prediction Tree)☆47Updated 6 years ago
- A collection of basic financial models and helper scripts implemented in Python (using PuLP and Pyomo modeling languages) and AMPL.☆27Updated 8 years ago
- Contains Python code for downloading socio-economic data from Quandl and using it to forecast real-GDP growth rates in countries.☆14Updated 9 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 6 years ago
- ☆13Updated 5 years ago
- Deep Learning for High-Dimensional Time Series☆22Updated 5 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- ☆12Updated 8 years ago