Calculate_VaR_using_R
Predefine and calculate variables/parameters for. Window size. EWMA (Exponantially weighted moving average). HS (Historical Simulation). MA (Moving […]
JKI S3C1
JKISeason3-1 TAGS: JKISeason3-1,AnilKS
03_SARIMA_Models
This workflow predicts the residual of time series (energy consumption) by seasonal autoregressive integrated moving average (ARIMA) models that aim at […]
04_Machine_Learning
This workflow predicts the residual of time series (energy consumption) by machine learning models that use lagged values as predictors. The residual of […]
JKISeason2-27
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Machine Learning Canvas in KNIME
Why Use The MACHINE LEARNING CANVAS? - REFINE IDEAS: Describe how your ML system will turn predictions into value for end-users, which data it will learn […]
Automation & Efficiency Example (using Excel)
The idea of this workflow is to demonstrate, how quickly you can set up an automation. This helps you to immediately gain efficiency in your daily […]
08_Visualization
Exercise 8 for the KNIME Analytics Platform for Data Wranglers course - Visualize the customer data using a scatter plot, a stacked area chart, and a bar […]