Intermittent demand forecasting
Intermittent demand forecasting The purpose of our project is to use a data analytic approach and then generalizing to a model-based approach. The data used for this analysis is from
Data:
Tools: Python, pandas, Tushare, ML models, R, MCMC, Metropolis Hastings algorithm.
The folder has the following files:
Final data set
Webapp - Dashboard Creator
Source Codes, Jupiter Notebooks, Raw Data, Graphs / Images etc.