The time series forecasting package for the
No need to switch back and forth between various frameworks.
modeltime unlocks machine learning & classical time series analysis.
Modeltime incorporates a simple workflow (see Getting Started with Modeltime) for using best practices to forecast.
A streamlined workflow for forecasting
Install the development version from with:
# install.packages("devtools") devtools::install_github("business-science/modeltime")
My Talk on High-Performance Time Series Forecasting
Time series is changing. Businesses now need 10,000+ time series forecasts every day. This is what I call a High-Performance Time Series Forecasting System (HPTSF) - Accurate, Robust, and Scalable Forecasting.
High-Performance Forecasting Systems will save companies MILLIONS of dollars. Imagine what will happen to your career if you can provide your organization a “High-Performance Time Series Forecasting System” (HPTSF System).
I teach how to build a HPTFS System in my High-Performance Time Series Forecasting Course. If interested in learning Scalable High-Performance Forecasting Strategies then take my course. You will learn:
Modeltime- 30+ Models (Prophet, ARIMA, XGBoost, Random Forest, & many more)