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noteJ

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association rules Dimensionality Reduction data-mining feature creation discretization Nearest Neighbor Classifier Curse of dimensionality Automated Test Numeric underflow LVQ multiple classification Pre-processing pre processing feature subset selection zero count Apriori algorithm variable transformation MLP calculation stratified sampling Naïve Bayes classifier

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Machine Learning(26)

  • Why pre-processing can improve the quality of data pipeline?

    Pre-processing refers to the various data cleaning and transformation techniques applied to raw data before it is fed into a data pipeline. Pre-processing can improve the quality of data pipeline in several ways: Data quality: Pre-processing can help identify and eliminate or correct errors, inconsistencies, and missing values in the data, thus improving its quality and accuracy. This can help p..

    2023.02.27
  • Entropy

    2023.02.22
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