Which is better, stemming or lemmatization?
Stemming is a relatively faster algorithm compared to lemmatization because of its easy ‘word chopping’ algorithm unlike lemmatization takes time to…
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Stemming is a relatively faster algorithm compared to lemmatization because of its easy ‘word chopping’ algorithm unlike lemmatization takes time to…
1 Answer · 1.7K Views · Answered ✓
Named Entity Recognition can be used in many fields and are helpful in a wide variety of cases.
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The relaxed and quickest method to a missing data problem is dropping the offending entries. But we have to take care that dropping data not at…
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Suppose we have following data someFactor = 500 x = c(1:250) y = x^-.25 * someFactor Easiest way to add a regression line to plot lines(log(x),…
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So we need to choose from the 1664 variables a legitimate model, for example a model that predicts as a significant part of the inconsistency in the…
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We do this in many ways but one of the most preferred methods of improving the accuracy of linear regression models is ‘The outlier treatment’.…
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Preprocessing is required to deal with the data which are categorical in nature or have missing data or normalization is required. Let us read data…
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# make data with weird column names that can't be hard coded data = data.frame( asihckhdoydkhxiydfgfTgdsx = sample(LETTERS[1:3], 100, replace=TRUE),…
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Break statement is used to break out of a loop. Let us create a loop and use break to terminate the loop x cat('x is currently: ',x) print(' x is…
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lapply(names(RFEresults), function(x) { feats
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To make a stem and leaf plot let us create some vectors x
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Formally, a function is a useful device that groups together a set of statements so they can be run more than once. They can also let us specify…
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