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

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