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Delay Prediction

Airline delay causes 2008 Python (Labs) KNIME Note: To compress the size of the workflow, a sample of Airline data 2008is considered, but to compare the performance of KNIME andPython on larger dataset, it is recommended to use the entire Airline2008 dataset which has almost 2 million rows.Link to Airline 2008 data: https://www.kaggle.com/vikalpdongre/us-flights-data-2008?select=2008.csv learn linear regressor z-normalize10% for training set90% for testing setz-normalize features0 mean and 1 std devbatch-wise predictorz-normalize testTrain a modelUse the model to make predictionsz-normalizeapplyJanuary - JuneJuly - DecemberPython Script(Labs) Python Script(Labs) Partitioning Normalizer (PMML) Python Script(Labs) NormalizerApply (PMML) Conda EnvironmentPropagation Linear RegressionLearner RegressionPredictor Scatter Plot(Plotly) Python Script(Labs) Scatter Plot(Plotly) Data Preprocessing Table Reader Table Reader Airline delay causes 2008 Python (Labs) KNIME Note: To compress the size of the workflow, a sample of Airline data 2008is considered, but to compare the performance of KNIME andPython on larger dataset, it is recommended to use the entire Airline2008 dataset which has almost 2 million rows.Link to Airline 2008 data: https://www.kaggle.com/vikalpdongre/us-flights-data-2008?select=2008.csv learn linear regressor z-normalize10% for training set90% for testing setz-normalize features0 mean and 1 std devbatch-wise predictorz-normalize testTrain a modelUse the model to make predictionsz-normalizeapplyJanuary - JuneJuly - DecemberPython Script(Labs) Python Script(Labs) Partitioning Normalizer (PMML) Python Script(Labs) NormalizerApply (PMML) Conda EnvironmentPropagation Linear RegressionLearner RegressionPredictor Scatter Plot(Plotly) Python Script(Labs) Scatter Plot(Plotly) Data Preprocessing Table Reader Table Reader

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