Linked Questions
18 questions linked to/from What algorithms need feature scaling, beside from SVM?
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Relation between Range of feature and Range of parameters in Logistic Regression?
It may be a very basic question but as a beginner in MachineLearning I still cannot figure out the answer.
In Andrew Ng's machine learning course he explained why we need feature scaling in http://...
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When not to use standardization on variables [closed]
Can someone give me a counter example of when we should not use standardization on variables? I understand what standardization is but i am not getting the point why we need to standardize variables? ...
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Why are linear/logistic regression and naive bayes called "parametric" while SVM, random forests, neural nets are not? [duplicate]
This table is mentioned in What algorithms need feature scaling, beside from SVM?
It says that linear regression, logistic regression, and naive bayes are parametric, while KNN, decision trees, ...