Forecasting Multiple Time Series with Modeltime | Bonus Auto-Forecast Shiny App [Lab 46]

The Modeltime R package & #Forecasting Framework can now forecast multiple #TimeSeries Groups at once using #MachineLearning Models. We showcase use of Modeltime on the Walmart Sales Demand Data Set (7-Time Series Groups). Here's the Table of Contents 👇

TABLE OF CONTENTS
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"Nostradamus" Auto-Forecast Shiny App Demo - 0:0:35
Agenda - 8:11
Modeltime Ecosystem - 9:34
Modeltime - 9:34
Modeltime Ensemble - 13:12
Modeltime Resample - 15:23
Roadmap for Modeltime - 17:14
COMING SOON: Modeltime GluonTS - 17:14
45-Minute Code Demo - Forecasting at Scale w/ Modeltime - 21:53
Overview & Project Setup - 21:53
1.0 Libraries - 23:40
2.0 Data - Walmart Sales Demand - 24:73
3.0 Time Series Data Preparation & Forecast Horizon - 25:50
4.0 Splitting Train/Test - 31:23
5.0 Preprocessor (Feature Engineering) - 33:08
6.0 Machine Learning (5 Models - XGBoost, SVM, Random Forest, Prophet, Prophet Boost) - 36:23
7.0 Modeltime Workflow - 39:43
8.0 Ensemble - 44:45
9.0 Conclusion & Time Series Course - 49:24
BONUS APP [LL PRO MEMBERS] - Nostradamus Lite - 51:02
Your Transformation - How To Learn Modeltime + Shiny - 52:20
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Q&A - 1:04:48

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