Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • scientificstrategy
  • Spaces
  • Public
  • KNIME Nodes
  • KN-302 Advanced Demand Forecasting Neural Networks v05
WorkflowWorkflow

[KNIME Nodes] KN-302 Advanced Demand Forecasting Neural Networks

Neural Network Deep Learning Kaggle

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
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

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
  • Go to item
    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.1

  • Go to item
    KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

  • Go to item
    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

  • Go to item
    KNIME JFreeChart Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

  • Go to item
    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

  • Go to item
    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

  • Go to item
    Market Simulation nodes by Scientific Strategy for KNIME - Community Edition Trusted extension

    Decision Ready, LLC

    Version 4.0.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

Legal

By using or downloading the workflow, you agree to our terms and conditions.

Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits