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Big Data > Learn Big Data > What is the need for correlation in data science?
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What is the need for correlation in data science?

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Correlation measure how two observed variables are related to each other . It has been used in many different ways in data science. Correlation is used im univariate analysis to identify which feature is more predictive for classification of regression task. To identify multicollinearity in the feature...
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Correlation measure how two observed variables are related to each other . It has been used in many different ways in data science. Correlation is used im univariate analysis to identify which feature is more predictive for classification of regression task. To identify multicollinearity in the feature set . Multicollinearity reduse the accuracy of model. Identify casual relation ship between variables. Their are many other extension like cca canonical correlation analysis. read less
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Correlation is needed to find out the relationships between two or more separate sets of data, which are related to one another. A simple example can be a order management process. Starting from the order details to fulfilment and invoicing, order id acts as the correlation id. Similarly customer id...
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Correlation is needed to find out the relationships between two or more separate sets of data, which are related to one another. A simple example can be a order management process. Starting from the order details to fulfilment and invoicing, order id acts as the correlation id. Similarly customer id is used to correlated separate and independent orders placed by the same customer. read less
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