Standardise AND Normalise The 2019 Stack Overflow Developer Survey Results Are InPerformance difference between decision trees and logistic regression when one of the features is a stringsklearn select N best using classifierFeature Importance and Partial Dependence plots seem to disagree?ROC curve for different hyperparameters of `RandomForestClassifier`?How much more data does my classifier need?How decision trees work in Pythoninterpreting multi linear regression resultsFeeding machine learning model with different matrixBinary Classifier for photo detectionIs it possible for a neural net to score as high as a different form of supervised learning?

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Standardise AND Normalise



The 2019 Stack Overflow Developer Survey Results Are InPerformance difference between decision trees and logistic regression when one of the features is a stringsklearn select N best using classifierFeature Importance and Partial Dependence plots seem to disagree?ROC curve for different hyperparameters of `RandomForestClassifier`?How much more data does my classifier need?How decision trees work in Pythoninterpreting multi linear regression resultsFeeding machine learning model with different matrixBinary Classifier for photo detectionIs it possible for a neural net to score as high as a different form of supervised learning?










0












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I am new to machine learning.
Does it make sense that my model works when I do both Standardise and Normalise? What does this say about my data?



Or do I do have to select one or the other? My goal is to build a binary classifier which analyses CNNs and GIST features?










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    $begingroup$


    I am new to machine learning.
    Does it make sense that my model works when I do both Standardise and Normalise? What does this say about my data?



    Or do I do have to select one or the other? My goal is to build a binary classifier which analyses CNNs and GIST features?










    share|improve this question







    New contributor




    Francis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      0












      0








      0





      $begingroup$


      I am new to machine learning.
      Does it make sense that my model works when I do both Standardise and Normalise? What does this say about my data?



      Or do I do have to select one or the other? My goal is to build a binary classifier which analyses CNNs and GIST features?










      share|improve this question







      New contributor




      Francis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am new to machine learning.
      Does it make sense that my model works when I do both Standardise and Normalise? What does this say about my data?



      Or do I do have to select one or the other? My goal is to build a binary classifier which analyses CNNs and GIST features?







      python scikit-learn






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      asked 5 hours ago









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