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
Workflow
KNIME Data Science Learnathon - Group 1 - Data Access and Data Manipulation
External resources
Used extensions & nodes
All required extensions are part of the default installation of KNIME
Analytics Platform version 5.2.1
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