Time Series Forecasting Best Practices & Examples

artificial-intelligence automl azure-ml best-practices deep-learning demand-forecasting dilated-cnn forecasting hyperparameter-tuning jupyter-notebook lightgbm machine-learning model-deployment prophet python r retail tidyverse time-series

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README.md

Forecasting Best Practices

This repository contains examples and best practices for building Forecasting solutions and systems, provided as Jupyter notebooks and a library of utility functions. The focus of the repository is on state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on forecasting problems.

Build Status

Build	Branch	Status
Linux CPU	master
Linux CPU	staging