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Session_​03a_​demo_​dimensionality reduction

Dimensionality reduction
Check the dimensions and missing values beforeapplying missing values technique Check the dimensions and missing values afterapplying missing values technique Missing values - columns with missing values > 50%observations, other columns with missing valuesreplace Missing valuefilter columns with missing values > 50%Check the dimensionalitybefore filtering missing values columnsCheck the dimensionalityafter filtering missing values columnsMissing valuetechniques for remaining columnsNumber of missingvalues after filteringmissing values columnsNumber of missingvalues before filteringmissing values columnsTitanic dataset Missing ValueColumn Filter Extract TableDimension Extract TableDimension Missing Value Statistics Statistics File Reader Check the dimensions and missing values beforeapplying missing values technique Check the dimensions and missing values afterapplying missing values technique Missing values - columns with missing values > 50%observations, other columns with missing valuesreplace Missing valuefilter columns with missing values > 50%Check the dimensionalitybefore filtering missing values columnsCheck the dimensionalityafter filtering missing values columnsMissing valuetechniques for remaining columnsNumber of missingvalues after filteringmissing values columnsNumber of missingvalues before filteringmissing values columnsTitanic datasetMissing ValueColumn Filter Extract TableDimension Extract TableDimension Missing Value Statistics Statistics File Reader

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Created by: wiswedel
Created at: 2017-07-04
On NodePit since: 2020-12-05
Last update: 2024-04-27
Created with KNIME version: v4.2.3
Tags: high dimensionsdimensionality reductionmachine learningvisualization

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