Electronic data processing - Data preparation.
Overview
Works: | 6 works in 3 publications in 3 languages |
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Titles
Practical data science with Jupyter = explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter /
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(Electronic resources)
Creating good data = a guide to dataset structure and data representation /
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(Electronic resources)
Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance
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(Electronic resources)
Subjects