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
Used extensions & nodes
Created with KNIME Analytics Platform version 4.4.2
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