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KNIME Data Science Learnathon - Group 1 - Data Access and Data Manipulation

ETLData accessPreprocessingJoinFilter
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Versionv1Latest, created on 
Feb 28, 2024 6:10 PM
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The data science learnathon is a workshop where participants divide in 3 groups: prepare data, train and test the model, deploy the model. This is the group to prepare the data. Solution to the tasks for Group 1 in KNIME Data Science Learnathon - Access data - Preprocess data by filtering rows, filtering columns, converting column types, and handling missing values - Join data from two different sources - Generate new features by binning and by a rule - Remove outliers - Normalize data - Partition data into a training and a test set - Write data into a file

External resources

  • KNIME Cheat Sheets - KNIME.com
  • What is KNIME Analytics Platform - KNIME TV (YouTube)
  • KNIME Learning Center - KNIME.com
  • Four Techniques for Outlier Detection - KNIME Blog
  • Dimensionality Reduction and Feature Selection - KNIME Blog
  • Will They Blend? The Blog Post Collection - KNIME Press
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Used extensions & nodes

All required extensions are part of the default installation of KNIME Analytics Platform version 5.2.1

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