Provides a Neural Network solution to the Kaggle Store Item Demand Forecasting Challenge. Input contains 5 years of store-item sales data. Deep Learning models use both Keras Layer Nodes and DL Python Nodes. Output predicts the daily sales of 50 different items over the next two years.
A comprehensive description of this workflow with step-by-step instructions can be found at the Scientific Strategy website:
https://scientificstrategy.com/kn-302/
SCIENTIFIC STRATEGY: [KNIME Nodes] KN-302 Sales Demand Forecasting Neural Networks https://scientificstrategy.com/kn-302/
DATA SOURCE: Kaggle: Store Item Demand Forecasting Challenge https://www.kaggle.com/c/demand-forecasting-kernels-only
Workflow
[KNIME Nodes] KN-302 Advanced Demand Forecasting Neural Networks
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.0
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Market Simulation nodes by Scientific Strategy for KNIME - Community Edition
Decision Ready, LLC
Version 4.0.0
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