Kaggle SS Titanic
<p><strong>Implementation of ML model for Kaggle SS Titanic competition</strong></p><p>This workflow shows how to prepare data, find the most important […]
Python - PySpark and MLlib RandomForest Classifier (with vtreat)
Demonstrates how to start a spark session within a Python node (the performance will very much depend on your machine) URL: Medium: Data preparation for […]
M1T2-Wheat_seed_dataset1
<h1 style="text-align: center"><strong>WHEAT SEED CLASSIFICATION WITH MLP & SVM</strong></h1>
Autofeat Generator
This component uses 'autofeat' python library to generate new features. The use of these features is directed towards building linear models. The […]
04_Consolidate_workflow_documentation
Consolidate Workflow Documentation This workflow consolidates all information and creates a BIRT reporf from the workflows: 0 GDPR Examples Overview 1 […]
M1T2-Wheat_seed_dataset
<h1 style="text-align: center"><strong>WHEAT SEED CLASSIFICATION WITH MLP & SVM</strong></h1>
03_Explain_Model
3. Explain Model This example shows one method for determing relative "importance" of each Feature based on the algorythm you have chosen for your […]
Run Jupyter in KNIME
Run Jupyter in KNIME This Workflow showcases how the Jupyter Notebooks can be integrated in KNIME. The Jupyter Notebook is responsible for feature […]