GitHub / TrilokiDA / Data-pre-processing
Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.
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Language: Jupyter Notebook
Size: 1.7 MB
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Created at: over 5 years ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: about 2 months ago
Topics: datapreprocessing, feature-scaling, feature-selection, feature-transformation, features, function-transformer, labelencoder, normalization, onehot-encoding, ordinal-encoding, outlier-detection, outlier-removal, outliers, power-transformers, sklearn, standardization